Debug/gen/chromeos/services/machine_learning/public/mojom/model.mojom-blink.cc

// chromeos/services/machine_learning/public/mojom/model.mojom-blink.cc is auto generated by mojom_bindings_generator.py, do not edit

// Copyright 2013 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.

#if defined(__clang__)
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wunused-private-field"
#endif

#include "chromeos/services/machine_learning/public/mojom/model.mojom-blink.h"

#include <math.h>
#include <stdint.h>
#include <utility>

#include "base/debug/alias.h"
#include "base/hash/md5_constexpr.h"
#include "base/run_loop.h"
#include "base/strings/string_number_conversions.h"
#include "base/trace_event/trace_event.h"
#include "base/trace_event/typed_macros.h"
#include "mojo/public/cpp/bindings/lib/generated_code_util.h"
#include "mojo/public/cpp/bindings/lib/message_internal.h"
#include "mojo/public/cpp/bindings/lib/send_message_helper.h"
#include "mojo/public/cpp/bindings/lib/proxy_to_responder.h"
#include "mojo/public/cpp/bindings/lib/serialization_util.h"
#include "mojo/public/cpp/bindings/lib/unserialized_message_context.h"
#include "mojo/public/cpp/bindings/lib/validate_params.h"
#include "mojo/public/cpp/bindings/lib/validation_errors.h"
#include "mojo/public/cpp/bindings/mojo_buildflags.h"
#include "mojo/public/interfaces/bindings/interface_control_messages.mojom.h"
#include "third_party/perfetto/include/perfetto/tracing/traced_value.h"

#include "chromeos/services/machine_learning/public/mojom/model.mojom-params-data.h"
#include "chromeos/services/machine_learning/public/mojom/model.mojom-shared-message-ids.h"

#include "chromeos/services/machine_learning/public/mojom/model.mojom-blink-import-headers.h"
#include "chromeos/services/machine_learning/public/mojom/model.mojom-blink-test-utils.h"
#include "mojo/public/cpp/bindings/lib/wtf_serialization.h"


#ifndef CHROMEOS_SERVICES_MACHINE_LEARNING_PUBLIC_MOJOM_MODEL_MOJOM_BLINK_JUMBO_H_
#define CHROMEOS_SERVICES_MACHINE_LEARNING_PUBLIC_MOJOM_MODEL_MOJOM_BLINK_JUMBO_H_
#endif



namespace chromeos {
namespace machine_learning {
namespace mojom {
namespace blink {
GraphExecutorOptions::GraphExecutorOptions()
    : use_nnapi(false),
      use_gpu(false),
      gpu_delegate_api(GpuDelegateApi::OPENGL) {}

GraphExecutorOptions::GraphExecutorOptions(
    bool use_nnapi_in)
    : use_nnapi(std::move(use_nnapi_in)),
      use_gpu(false),
      gpu_delegate_api(GpuDelegateApi::OPENGL) {}

GraphExecutorOptions::GraphExecutorOptions(
    bool use_nnapi_in,
    bool use_gpu_in)
    : use_nnapi(std::move(use_nnapi_in)),
      use_gpu(std::move(use_gpu_in)),
      gpu_delegate_api(GpuDelegateApi::OPENGL) {}

GraphExecutorOptions::GraphExecutorOptions(
    bool use_nnapi_in,
    bool use_gpu_in,
    GpuDelegateApi gpu_delegate_api_in)
    : use_nnapi(std::move(use_nnapi_in)),
      use_gpu(std::move(use_gpu_in)),
      gpu_delegate_api(std::move(gpu_delegate_api_in)) {}

GraphExecutorOptions::~GraphExecutorOptions() = default;
size_t GraphExecutorOptions::Hash(size_t seed) const {
  seed = mojo::internal::WTFHash(seed, this->use_nnapi);
  seed = mojo::internal::WTFHash(seed, this->use_gpu);
  seed = mojo::internal::WTFHash(seed, this->gpu_delegate_api);
  return seed;
}

void GraphExecutorOptions::WriteIntoTrace(
    perfetto::TracedValue traced_context) const {
  [[maybe_unused]] auto dict = std::move(traced_context).WriteDictionary();
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "use_nnapi"), this->use_nnapi,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type bool>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "use_gpu"), this->use_gpu,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type bool>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "gpu_delegate_api"), this->gpu_delegate_api,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type GpuDelegateApi>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
}

bool GraphExecutorOptions::Validate(
    const void* data,
    mojo::internal::ValidationContext* validation_context) {
  return Data_::Validate(data, validation_context);
}
BuiltinModelSpec::BuiltinModelSpec()
    : id() {}

BuiltinModelSpec::BuiltinModelSpec(
    BuiltinModelId id_in)
    : id(std::move(id_in)) {}

BuiltinModelSpec::~BuiltinModelSpec() = default;
size_t BuiltinModelSpec::Hash(size_t seed) const {
  seed = mojo::internal::WTFHash(seed, this->id);
  return seed;
}

void BuiltinModelSpec::WriteIntoTrace(
    perfetto::TracedValue traced_context) const {
  [[maybe_unused]] auto dict = std::move(traced_context).WriteDictionary();
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "id"), this->id,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type BuiltinModelId>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
}

bool BuiltinModelSpec::Validate(
    const void* data,
    mojo::internal::ValidationContext* validation_context) {
  return Data_::Validate(data, validation_context);
}
FlatBufferModelSpec::FlatBufferModelSpec()
    : model_string(),
      inputs(),
      outputs(),
      metrics_model_name() {}

FlatBufferModelSpec::FlatBufferModelSpec(
    const WTF::String& model_string_in,
    const WTF::HashMap<WTF::String, int32_t>& inputs_in,
    const WTF::HashMap<WTF::String, int32_t>& outputs_in,
    const WTF::String& metrics_model_name_in)
    : model_string(std::move(model_string_in)),
      inputs(std::move(inputs_in)),
      outputs(std::move(outputs_in)),
      metrics_model_name(std::move(metrics_model_name_in)) {}

FlatBufferModelSpec::~FlatBufferModelSpec() = default;

void FlatBufferModelSpec::WriteIntoTrace(
    perfetto::TracedValue traced_context) const {
  [[maybe_unused]] auto dict = std::move(traced_context).WriteDictionary();
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "model_string"), this->model_string,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type const WTF::String&>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "inputs"), this->inputs,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type const WTF::HashMap<WTF::String, int32_t>&>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "outputs"), this->outputs,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type const WTF::HashMap<WTF::String, int32_t>&>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
  perfetto::WriteIntoTracedValueWithFallback(
    dict.AddItem(
      "metrics_model_name"), this->metrics_model_name,
#if BUILDFLAG(MOJO_TRACE_ENABLED)
      "<value of type const WTF::String&>"
#else
      "<value>"
#endif  // BUILDFLAG(MOJO_TRACE_ENABLED)
    );
}

bool FlatBufferModelSpec::Validate(
    const void* data,
    mojo::internal::ValidationContext* validation_context) {
  return Data_::Validate(data, validation_context);
}
const char Model::Name_[] = "chromeos.machine_learning.mojom.Model";

std::pair<uint32_t, const void*> Model::MessageToMethodInfo_(mojo::Message& message) {
  switch (message.name()) {
    case internal::kModel_REMOVED_0_Name: {
      constexpr uint32_t value = base::MD5Hash32Constexpr(
              "(Impl)chromeos::machine_learning::mojom::Model::REMOVED_0");
#if BUILDFLAG(IS_FUCHSIA)
        return std::make_pair(value, nullptr);
#else
        return std::make_pair(value, reinterpret_cast<const void*>(&Model::REMOVED_0_Sym::IPCSymbol));
#endif // BUILDFLAG(IS_FUCHSIA)
    }
    case internal::kModel_CreateGraphExecutor_Name: {
      constexpr uint32_t value = base::MD5Hash32Constexpr(
              "(Impl)chromeos::machine_learning::mojom::Model::CreateGraphExecutor");
#if BUILDFLAG(IS_FUCHSIA)
        return std::make_pair(value, nullptr);
#else
        return std::make_pair(value, reinterpret_cast<const void*>(&Model::CreateGraphExecutor_Sym::IPCSymbol));
#endif // BUILDFLAG(IS_FUCHSIA)
    }
  }
  return std::make_pair(0, nullptr);
}


const char* Model::MessageToMethodName_(mojo::Message& message) {
#if BUILDFLAG(MOJO_TRACE_ENABLED)
  bool is_response = message.has_flag(mojo::Message::kFlagIsResponse);
  if (!is_response) {
    switch (message.name()) {
      case internal::kModel_REMOVED_0_Name:
            return "Receive chromeos::machine_learning::mojom::Model::REMOVED_0";
      case internal::kModel_CreateGraphExecutor_Name:
            return "Receive chromeos::machine_learning::mojom::Model::CreateGraphExecutor";
    }
  } else {
    switch (message.name()) {
      case internal::kModel_REMOVED_0_Name:
            return "Receive reply chromeos::machine_learning::mojom::Model::REMOVED_0";
      case internal::kModel_CreateGraphExecutor_Name:
            return "Receive reply chromeos::machine_learning::mojom::Model::CreateGraphExecutor";
    }
  }
  return "Receive unknown mojo message";
#else
  bool is_response = message.has_flag(mojo::Message::kFlagIsResponse);
  if (is_response) {
    return "Receive mojo reply";
  } else {
    return "Receive mojo message";
  }
#endif // BUILDFLAG(MOJO_TRACE_ENABLED)
}

#if !BUILDFLAG(IS_FUCHSIA)
void Model::REMOVED_0_Sym::IPCSymbol() {
  // This method's address is used for indetifiying the mojo method name after
  // symblozation. So each IPCSymbol should have a unique address.
  NO_CODE_FOLDING();
}
void Model::CreateGraphExecutor_Sym::IPCSymbol() {
  // This method's address is used for indetifiying the mojo method name after
  // symblozation. So each IPCSymbol should have a unique address.
  NO_CODE_FOLDING();
}
# endif // !BUILDFLAG(IS_FUCHSIA)

class Model_REMOVED_0_ForwardToCallback
    : public mojo::MessageReceiver {
 public:
  Model_REMOVED_0_ForwardToCallback(
      Model::REMOVED_0Callback callback
      ) : callback_(std::move(callback)) {
  }

  Model_REMOVED_0_ForwardToCallback(const Model_REMOVED_0_ForwardToCallback&) = delete;
  Model_REMOVED_0_ForwardToCallback& operator=(const Model_REMOVED_0_ForwardToCallback&) = delete;

  bool Accept(mojo::Message* message) override;
 private:
  Model::REMOVED_0Callback callback_;
};

class Model_CreateGraphExecutor_ForwardToCallback
    : public mojo::MessageReceiver {
 public:
  Model_CreateGraphExecutor_ForwardToCallback(
      Model::CreateGraphExecutorCallback callback
      ) : callback_(std::move(callback)) {
  }

  Model_CreateGraphExecutor_ForwardToCallback(const Model_CreateGraphExecutor_ForwardToCallback&) = delete;
  Model_CreateGraphExecutor_ForwardToCallback& operator=(const Model_CreateGraphExecutor_ForwardToCallback&) = delete;

  bool Accept(mojo::Message* message) override;
 private:
  Model::CreateGraphExecutorCallback callback_;
};

ModelProxy::ModelProxy(mojo::MessageReceiverWithResponder* receiver)
    : receiver_(receiver) {
}

void ModelProxy::REMOVED_0(
    ::mojo::PendingReceiver<::chromeos::machine_learning::mojom::blink::GraphExecutor> in_receiver, REMOVED_0Callback callback) {
#if BUILDFLAG(MOJO_TRACE_ENABLED)
  TRACE_EVENT1(
    "mojom", "Send chromeos::machine_learning::mojom::Model::REMOVED_0", "input_parameters",
    [&](perfetto::TracedValue context){
      auto dict = std::move(context).WriteDictionary();
      perfetto::WriteIntoTracedValueWithFallback(
           dict.AddItem("receiver"), in_receiver,
                        "<value of type ::mojo::PendingReceiver<::chromeos::machine_learning::mojom::blink::GraphExecutor>>");
   });
#endif
  const bool kExpectsResponse = true;
  const bool kIsSync = false;
  const bool kAllowInterrupt = true;
  
  const uint32_t kFlags =
      ((kExpectsResponse) ? mojo::Message::kFlagExpectsResponse : 0) |
      ((kIsSync) ? mojo::Message::kFlagIsSync : 0) |
      ((kAllowInterrupt) ? 0 : mojo::Message::kFlagNoInterrupt);
  
  mojo::Message message(
      internal::kModel_REMOVED_0_Name, kFlags, 0, 0, nullptr);
  mojo::internal::MessageFragment<
      ::chromeos::machine_learning::mojom::internal::Model_REMOVED_0_Params_Data> params(
          message);
  params.Allocate();
  mojo::internal::Serialize<mojo::InterfaceRequestDataView<::chromeos::machine_learning::mojom::GraphExecutorInterfaceBase>>(
      in_receiver, &params->receiver, &params.message());
  MOJO_INTERNAL_DLOG_SERIALIZATION_WARNING(
      !mojo::internal::IsHandleOrInterfaceValid(params->receiver),
      mojo::internal::VALIDATION_ERROR_UNEXPECTED_INVALID_HANDLE,
      "invalid receiver in Model.REMOVED_0 request");

#if defined(ENABLE_IPC_FUZZER)
  message.set_interface_name(Model::Name_);
  message.set_method_name("REMOVED_0");
#endif
  std::unique_ptr<mojo::MessageReceiver> responder(
      new Model_REMOVED_0_ForwardToCallback(
          std::move(callback)));
  ::mojo::internal::SendMessage(*receiver_, message, std::move(responder));
}

void ModelProxy::CreateGraphExecutor(
    GraphExecutorOptionsPtr in_options, ::mojo::PendingReceiver<::chromeos::machine_learning::mojom::blink::GraphExecutor> in_receiver, CreateGraphExecutorCallback callback) {
#if BUILDFLAG(MOJO_TRACE_ENABLED)
  TRACE_EVENT1(
    "mojom", "Send chromeos::machine_learning::mojom::Model::CreateGraphExecutor", "input_parameters",
    [&](perfetto::TracedValue context){
      auto dict = std::move(context).WriteDictionary();
      perfetto::WriteIntoTracedValueWithFallback(
           dict.AddItem("options"), in_options,
                        "<value of type GraphExecutorOptionsPtr>");
      perfetto::WriteIntoTracedValueWithFallback(
           dict.AddItem("receiver"), in_receiver,
                        "<value of type ::mojo::PendingReceiver<::chromeos::machine_learning::mojom::blink::GraphExecutor>>");
   });
#endif
  const bool kExpectsResponse = true;
  const bool kIsSync = false;
  const bool kAllowInterrupt = true;
  
  const uint32_t kFlags =
      ((kExpectsResponse) ? mojo::Message::kFlagExpectsResponse : 0) |
      ((kIsSync) ? mojo::Message::kFlagIsSync : 0) |
      ((kAllowInterrupt) ? 0 : mojo::Message::kFlagNoInterrupt);
  
  mojo::Message message(
      internal::kModel_CreateGraphExecutor_Name, kFlags, 0, 0, nullptr);
  mojo::internal::MessageFragment<
      ::chromeos::machine_learning::mojom::internal::Model_CreateGraphExecutor_Params_Data> params(
          message);
  params.Allocate();
  mojo::internal::MessageFragment<
      typename decltype(params->options)::BaseType> options_fragment(
          params.message());
  mojo::internal::Serialize<::chromeos::machine_learning::mojom::GraphExecutorOptionsDataView>(
      in_options, options_fragment);
  params->options.Set(
      options_fragment.is_null() ? nullptr : options_fragment.data());
  MOJO_INTERNAL_DLOG_SERIALIZATION_WARNING(
      params->options.is_null(),
      mojo::internal::VALIDATION_ERROR_UNEXPECTED_NULL_POINTER,
      "null options in Model.CreateGraphExecutor request");
  mojo::internal::Serialize<mojo::InterfaceRequestDataView<::chromeos::machine_learning::mojom::GraphExecutorInterfaceBase>>(
      in_receiver, &params->receiver, &params.message());
  MOJO_INTERNAL_DLOG_SERIALIZATION_WARNING(
      !mojo::internal::IsHandleOrInterfaceValid(params->receiver),
      mojo::internal::VALIDATION_ERROR_UNEXPECTED_INVALID_HANDLE,
      "invalid receiver in Model.CreateGraphExecutor request");

#if defined(ENABLE_IPC_FUZZER)
  message.set_interface_name(Model::Name_);
  message.set_method_name("CreateGraphExecutor");
#endif
  std::unique_ptr<mojo::MessageReceiver> responder(
      new Model_CreateGraphExecutor_ForwardToCallback(
          std::move(callback)));
  ::mojo::internal::SendMessage(*receiver_, message, std::move(responder));
}
class Model_REMOVED_0_ProxyToResponder : public ::mojo::internal::ProxyToResponder {
 public:
  static Model::REMOVED_0Callback CreateCallback(
      ::mojo::Message& message,
      std::unique_ptr<mojo::MessageReceiverWithStatus> responder) {
    std::unique_ptr<Model_REMOVED_0_ProxyToResponder> proxy(
        new Model_REMOVED_0_ProxyToResponder(
            message, std::move(responder)));
    return base::BindOnce(&Model_REMOVED_0_ProxyToResponder::Run,
                          std::move(proxy));
  }

  ~Model_REMOVED_0_ProxyToResponder() {
#if DCHECK_IS_ON()
    if (responder_) {
      // If we're being destroyed without being run, we want to ensure the
      // binding endpoint has been closed. This checks for that asynchronously.
      // We pass a bound generated callback to handle the response so that any
      // resulting DCHECK stack will have useful interface type information.
      responder_->IsConnectedAsync(base::BindOnce(&OnIsConnectedComplete));
    }
#endif
  }

 private:
  Model_REMOVED_0_ProxyToResponder(
      ::mojo::Message& message,
      std::unique_ptr<mojo::MessageReceiverWithStatus> responder)
      : ::mojo::internal::ProxyToResponder(message, std::move(responder)) {
  }

#if DCHECK_IS_ON()
  static void OnIsConnectedComplete(bool connected) {
    DCHECK(!connected)
        << "Model::REMOVED_0Callback was destroyed without "
        << "first either being run or its corresponding binding being closed. "
        << "It is an error to drop response callbacks which still correspond "
        << "to an open interface pipe.";
  }
#endif

  void Run(
      CreateGraphExecutorResult in_result);
};

bool Model_REMOVED_0_ForwardToCallback::Accept(
    mojo::Message* message) {

  DCHECK(message->is_serialized());
  internal::Model_REMOVED_0_ResponseParams_Data* params =
      reinterpret_cast<
          internal::Model_REMOVED_0_ResponseParams_Data*>(
              message->mutable_payload());
  
  bool success = true;
  CreateGraphExecutorResult p_result{};
  Model_REMOVED_0_ResponseParamsDataView input_data_view(params, message);
  
  if (success && !input_data_view.ReadResult(&p_result))
    success = false;
  if (!success) {
    ReportValidationErrorForMessage(
        message,
        mojo::internal::VALIDATION_ERROR_DESERIALIZATION_FAILED,
        Model::Name_, 0, true);
    return false;
  }
  if (!callback_.is_null())
    std::move(callback_).Run(
std::move(p_result));
  return true;
}

void Model_REMOVED_0_ProxyToResponder::Run(
    CreateGraphExecutorResult in_result) {
#if BUILDFLAG(MOJO_TRACE_ENABLED)
  TRACE_EVENT1(
    "mojom", "Send reply chromeos::machine_learning::mojom::Model::REMOVED_0", "async_response_parameters",
    [&](perfetto::TracedValue context){
      auto dict = std::move(context).WriteDictionary();
      perfetto::WriteIntoTracedValueWithFallback(
           dict.AddItem("result"), in_result,
                        "<value of type CreateGraphExecutorResult>");
   });
#endif
  
  const uint32_t kFlags = mojo::Message::kFlagIsResponse |
      ((is_sync_) ? mojo::Message::kFlagIsSync : 0) |
      ((true) ? 0 : mojo::Message::kFlagNoInterrupt);
  
  mojo::Message message(
      internal::kModel_REMOVED_0_Name, kFlags, 0, 0, nullptr);
  mojo::internal::MessageFragment<
      ::chromeos::machine_learning::mojom::internal::Model_REMOVED_0_ResponseParams_Data> params(
          message);
  params.Allocate();
  mojo::internal::Serialize<::chromeos::machine_learning::mojom::CreateGraphExecutorResult>(
      in_result, &params->result);

#if defined(ENABLE_IPC_FUZZER)
  message.set_interface_name(Model::Name_);
  message.set_method_name("REMOVED_0");
#endif

  message.set_request_id(request_id_);
  message.set_trace_nonce(trace_nonce_);
  ::mojo::internal::SendMessage(*responder_, message);
  // SendMessage fails silently if the responder connection is closed,
  // or if the message is malformed.
  //
  // TODO(darin): If Accept() returns false due to a malformed message, that
  // may be good reason to close the connection. However, we don't have a
  // way to do that from here. We should add a way.
  responder_ = nullptr;
}
class Model_CreateGraphExecutor_ProxyToResponder : public ::mojo::internal::ProxyToResponder {
 public:
  static Model::CreateGraphExecutorCallback CreateCallback(
      ::mojo::Message& message,
      std::unique_ptr<mojo::MessageReceiverWithStatus> responder) {
    std::unique_ptr<Model_CreateGraphExecutor_ProxyToResponder> proxy(
        new Model_CreateGraphExecutor_ProxyToResponder(
            message, std::move(responder)));
    return base::BindOnce(&Model_CreateGraphExecutor_ProxyToResponder::Run,
                          std::move(proxy));
  }

  ~Model_CreateGraphExecutor_ProxyToResponder() {
#if DCHECK_IS_ON()
    if (responder_) {
      // If we're being destroyed without being run, we want to ensure the
      // binding endpoint has been closed. This checks for that asynchronously.
      // We pass a bound generated callback to handle the response so that any
      // resulting DCHECK stack will have useful interface type information.
      responder_->IsConnectedAsync(base::BindOnce(&OnIsConnectedComplete));
    }
#endif
  }

 private:
  Model_CreateGraphExecutor_ProxyToResponder(
      ::mojo::Message& message,
      std::unique_ptr<mojo::MessageReceiverWithStatus> responder)
      : ::mojo::internal::ProxyToResponder(message, std::move(responder)) {
  }

#if DCHECK_IS_ON()
  static void OnIsConnectedComplete(bool connected) {
    DCHECK(!connected)
        << "Model::CreateGraphExecutorCallback was destroyed without "
        << "first either being run or its corresponding binding being closed. "
        << "It is an error to drop response callbacks which still correspond "
        << "to an open interface pipe.";
  }
#endif

  void Run(
      CreateGraphExecutorResult in_result);
};

bool Model_CreateGraphExecutor_ForwardToCallback::Accept(
    mojo::Message* message) {

  DCHECK(message->is_serialized());
  internal::Model_CreateGraphExecutor_ResponseParams_Data* params =
      reinterpret_cast<
          internal::Model_CreateGraphExecutor_ResponseParams_Data*>(
              message->mutable_payload());
  
  bool success = true;
  CreateGraphExecutorResult p_result{};
  Model_CreateGraphExecutor_ResponseParamsDataView input_data_view(params, message);
  
  if (success && !input_data_view.ReadResult(&p_result))
    success = false;
  if (!success) {
    ReportValidationErrorForMessage(
        message,
        mojo::internal::VALIDATION_ERROR_DESERIALIZATION_FAILED,
        Model::Name_, 1, true);
    return false;
  }
  if (!callback_.is_null())
    std::move(callback_).Run(
std::move(p_result));
  return true;
}

void Model_CreateGraphExecutor_ProxyToResponder::Run(
    CreateGraphExecutorResult in_result) {
#if BUILDFLAG(MOJO_TRACE_ENABLED)
  TRACE_EVENT1(
    "mojom", "Send reply chromeos::machine_learning::mojom::Model::CreateGraphExecutor", "async_response_parameters",
    [&](perfetto::TracedValue context){
      auto dict = std::move(context).WriteDictionary();
      perfetto::WriteIntoTracedValueWithFallback(
           dict.AddItem("result"), in_result,
                        "<value of type CreateGraphExecutorResult>");
   });
#endif
  
  const uint32_t kFlags = mojo::Message::kFlagIsResponse |
      ((is_sync_) ? mojo::Message::kFlagIsSync : 0) |
      ((true) ? 0 : mojo::Message::kFlagNoInterrupt);
  
  mojo::Message message(
      internal::kModel_CreateGraphExecutor_Name, kFlags, 0, 0, nullptr);
  mojo::internal::MessageFragment<
      ::chromeos::machine_learning::mojom::internal::Model_CreateGraphExecutor_ResponseParams_Data> params(
          message);
  params.Allocate();
  mojo::internal::Serialize<::chromeos::machine_learning::mojom::CreateGraphExecutorResult>(
      in_result, &params->result);

#if defined(ENABLE_IPC_FUZZER)
  message.set_interface_name(Model::Name_);
  message.set_method_name("CreateGraphExecutor");
#endif

  message.set_request_id(request_id_);
  message.set_trace_nonce(trace_nonce_);
  ::mojo::internal::SendMessage(*responder_, message);
  // SendMessage fails silently if the responder connection is closed,
  // or if the message is malformed.
  //
  // TODO(darin): If Accept() returns false due to a malformed message, that
  // may be good reason to close the connection. However, we don't have a
  // way to do that from here. We should add a way.
  responder_ = nullptr;
}

// static
bool ModelStubDispatch::Accept(
    Model* impl,
    mojo::Message* message) {
  switch (message->header()->name) {
    case internal::kModel_REMOVED_0_Name: {
      break;
    }
    case internal::kModel_CreateGraphExecutor_Name: {
      break;
    }
  }
  return false;
}

// static
bool ModelStubDispatch::AcceptWithResponder(
    Model* impl,
    mojo::Message* message,
    std::unique_ptr<mojo::MessageReceiverWithStatus> responder) {
  [[maybe_unused]] const bool message_is_sync =
      message->has_flag(mojo::Message::kFlagIsSync);
  [[maybe_unused]] const uint64_t request_id = message->request_id();
  switch (message->header()->name) {
    case internal::kModel_REMOVED_0_Name: {

      internal::Model_REMOVED_0_Params_Data* params =
          reinterpret_cast<
              internal::Model_REMOVED_0_Params_Data*>(
                  message->mutable_payload());
      
      bool success = true;
      ::mojo::PendingReceiver<::chromeos::machine_learning::mojom::blink::GraphExecutor> p_receiver{};
      Model_REMOVED_0_ParamsDataView input_data_view(params, message);
      
      if (success) {
        p_receiver =
            input_data_view.TakeReceiver<decltype(p_receiver)>();
      }
      if (!success) {
        ReportValidationErrorForMessage(
            message,
            mojo::internal::VALIDATION_ERROR_DESERIALIZATION_FAILED,
            Model::Name_, 0, false);
        return false;
      }
      Model::REMOVED_0Callback callback =
          Model_REMOVED_0_ProxyToResponder::CreateCallback(
              *message, std::move(responder));
      // A null |impl| means no implementation was bound.
      DCHECK(impl);
      impl->REMOVED_0(
std::move(p_receiver), std::move(callback));
      return true;
    }
    case internal::kModel_CreateGraphExecutor_Name: {

      internal::Model_CreateGraphExecutor_Params_Data* params =
          reinterpret_cast<
              internal::Model_CreateGraphExecutor_Params_Data*>(
                  message->mutable_payload());
      
      bool success = true;
      GraphExecutorOptionsPtr p_options{};
      ::mojo::PendingReceiver<::chromeos::machine_learning::mojom::blink::GraphExecutor> p_receiver{};
      Model_CreateGraphExecutor_ParamsDataView input_data_view(params, message);
      
      if (success && !input_data_view.ReadOptions(&p_options))
        success = false;
      if (success) {
        p_receiver =
            input_data_view.TakeReceiver<decltype(p_receiver)>();
      }
      if (!success) {
        ReportValidationErrorForMessage(
            message,
            mojo::internal::VALIDATION_ERROR_DESERIALIZATION_FAILED,
            Model::Name_, 1, false);
        return false;
      }
      Model::CreateGraphExecutorCallback callback =
          Model_CreateGraphExecutor_ProxyToResponder::CreateCallback(
              *message, std::move(responder));
      // A null |impl| means no implementation was bound.
      DCHECK(impl);
      impl->CreateGraphExecutor(
std::move(p_options), 
std::move(p_receiver), std::move(callback));
      return true;
    }
  }
  return false;
}


static const mojo::internal::GenericValidationInfo kModelValidationInfo[] = {
    {&internal::Model_REMOVED_0_Params_Data::Validate,
     &internal::Model_REMOVED_0_ResponseParams_Data::Validate},
    {&internal::Model_CreateGraphExecutor_Params_Data::Validate,
     &internal::Model_CreateGraphExecutor_ResponseParams_Data::Validate},
};

bool ModelRequestValidator::Accept(mojo::Message* message) {
  const char* name = ::chromeos::machine_learning::mojom::blink::Model::Name_;
  return mojo::internal::ValidateRequestGenericPacked(message, name, kModelValidationInfo);
}

bool ModelResponseValidator::Accept(mojo::Message* message) {
  const char* name = ::chromeos::machine_learning::mojom::blink::Model::Name_;
  return mojo::internal::ValidateResponseGenericPacked(message, name, kModelValidationInfo);
}


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


namespace mojo {


// static
bool StructTraits<::chromeos::machine_learning::mojom::blink::GraphExecutorOptions::DataView, ::chromeos::machine_learning::mojom::blink::GraphExecutorOptionsPtr>::Read(
    ::chromeos::machine_learning::mojom::blink::GraphExecutorOptions::DataView input,
    ::chromeos::machine_learning::mojom::blink::GraphExecutorOptionsPtr* output) {
  bool success = true;
  ::chromeos::machine_learning::mojom::blink::GraphExecutorOptionsPtr result(::chromeos::machine_learning::mojom::blink::GraphExecutorOptions::New());
  
      if (success)
        result->use_nnapi = input.use_nnapi();
      if (success)
        result->use_gpu = input.use_gpu();
      if (success && !input.ReadGpuDelegateApi(&result->gpu_delegate_api))
        success = false;
  *output = std::move(result);
  return success;
}


// static
bool StructTraits<::chromeos::machine_learning::mojom::blink::BuiltinModelSpec::DataView, ::chromeos::machine_learning::mojom::blink::BuiltinModelSpecPtr>::Read(
    ::chromeos::machine_learning::mojom::blink::BuiltinModelSpec::DataView input,
    ::chromeos::machine_learning::mojom::blink::BuiltinModelSpecPtr* output) {
  bool success = true;
  ::chromeos::machine_learning::mojom::blink::BuiltinModelSpecPtr result(::chromeos::machine_learning::mojom::blink::BuiltinModelSpec::New());
  
      if (success && !input.ReadId(&result->id))
        success = false;
  *output = std::move(result);
  return success;
}


// static
bool StructTraits<::chromeos::machine_learning::mojom::blink::FlatBufferModelSpec::DataView, ::chromeos::machine_learning::mojom::blink::FlatBufferModelSpecPtr>::Read(
    ::chromeos::machine_learning::mojom::blink::FlatBufferModelSpec::DataView input,
    ::chromeos::machine_learning::mojom::blink::FlatBufferModelSpecPtr* output) {
  bool success = true;
  ::chromeos::machine_learning::mojom::blink::FlatBufferModelSpecPtr result(::chromeos::machine_learning::mojom::blink::FlatBufferModelSpec::New());
  
      if (success && !input.ReadModelString(&result->model_string))
        success = false;
      if (success && !input.ReadInputs(&result->inputs))
        success = false;
      if (success && !input.ReadOutputs(&result->outputs))
        success = false;
      if (success && !input.ReadMetricsModelName(&result->metrics_model_name))
        success = false;
  *output = std::move(result);
  return success;
}

}  // namespace mojo


// Symbols declared in the -test-utils.h header are defined here instead of a
// separate .cc file to save compile time.


namespace chromeos {
namespace machine_learning {
namespace mojom {
namespace blink {


void ModelInterceptorForTesting::REMOVED_0(::mojo::PendingReceiver<::chromeos::machine_learning::mojom::blink::GraphExecutor> receiver, REMOVED_0Callback callback) {
  GetForwardingInterface()->REMOVED_0(std::move(receiver), std::move(callback));
}
void ModelInterceptorForTesting::CreateGraphExecutor(GraphExecutorOptionsPtr options, ::mojo::PendingReceiver<::chromeos::machine_learning::mojom::blink::GraphExecutor> receiver, CreateGraphExecutorCallback callback) {
  GetForwardingInterface()->CreateGraphExecutor(std::move(options), std::move(receiver), std::move(callback));
}
ModelAsyncWaiter::ModelAsyncWaiter(
    Model* proxy) : proxy_(proxy) {}

ModelAsyncWaiter::~ModelAsyncWaiter() = default;

void ModelAsyncWaiter::REMOVED_0(
    ::mojo::PendingReceiver<::chromeos::machine_learning::mojom::blink::GraphExecutor> receiver, CreateGraphExecutorResult* out_result) {
  base::RunLoop loop;
  proxy_->REMOVED_0(std::move(receiver),
      base::BindOnce(
          [](base::RunLoop* loop,
             CreateGraphExecutorResult* out_result
,
             CreateGraphExecutorResult result) {*out_result = std::move(result);
            loop->Quit();
          },
          &loop,
          out_result));
  loop.Run();
}
void ModelAsyncWaiter::CreateGraphExecutor(
    GraphExecutorOptionsPtr options, ::mojo::PendingReceiver<::chromeos::machine_learning::mojom::blink::GraphExecutor> receiver, CreateGraphExecutorResult* out_result) {
  base::RunLoop loop;
  proxy_->CreateGraphExecutor(std::move(options),std::move(receiver),
      base::BindOnce(
          [](base::RunLoop* loop,
             CreateGraphExecutorResult* out_result
,
             CreateGraphExecutorResult result) {*out_result = std::move(result);
            loop->Quit();
          },
          &loop,
          out_result));
  loop.Run();
}





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


#if defined(__clang__)
#pragma clang diagnostic pop
#endif