context, parallel_device_name.c_str(), t_released->dtype(), t_released,
      handle_methods, status));
}

// For TFE_CustomDevice::copy_tensor_to_device in the parallel device
// registration.
//
// Since this function is used to satisfy the TFE_CustomDevice C API,
// device_info is passed in using a C-style generic. It must always be a
// ParallelDevice.

	}
	if c.Proxy != "" {
		os.Setenv("CONSOLE_SUBNET_PROXY", c.Proxy)
	}
	os.Setenv("CONSOLE_SUBNET_URL", c.BaseURL)
}

// Update - in-place update with new license and registration information.
func (c *Config) Update(ncfg Config, isDevEnv bool) {
	configLock.Lock()
	defer configLock.Unlock()

	c.License = ncfg.License
	c.APIKey = ncfg.APIKey
	c.Proxy = ncfg.Proxy

setattr(_current_module, "optimizers", _optimizers)
setattr(_current_module, "initializers", _initializers)


# Do an eager load for Keras' code so that any function/method that needs to
# happen at load time will trigger, eg registration of optimizers in the
# SavedModel registry.
# See b/196254385 for more details.
try:
  if _tf_uses_legacy_keras:
    importlib.import_module("tf_keras.src.optimizers")
  else:

void RegisterTracingEngineFactory(const string& name, FactoryFunction factory) {
  assert((!GetFactories().count(name)) ||
         (GetFactories()[name] == factory) &&
             "Duplicate tracing factory registration");
  GetFactories()[name] = factory;
}

absl::Status SetDefaultTracingEngine(const char* name) {
  auto entry = GetFactories().find(name);
  if (entry != GetFactories().end()) {

#     visibility = ["//visibility:public"],
# )
# copybara:uncomment_end

# 'enable_registration_v2' opts-in to a different implementation of op and
# kernel registration - REGISTER_OP, REGISTER_KERNEL_BUILDER, etc.
#
# This setting is currently experimental. The 'v2' implementation does _not_
# correspond to a particular, finalized design; rather, it relates to
# developing one.

The dependency injection system requires pre-registration of the dependencies and the dependencies are solved based on the declared types. So, it's not possible to declare more than one "component" that provides a certain type.

	// Use bitwise-AND and check if the result is non-zero.
	return h&flag != 0
}

// s3APIMiddleware - performs some common handler functionality for S3 API
// handlers.
//
// It is set per-"handler function registration" in the router to allow for
// behavior modification via flags.
//
// This middleware always calls `collectAPIStats` to collect API stats.
//

# For projects which use TensorFlow as part of a Bazel build process, putting
# nothing in a bazelrc will default to a monolithic build. The following line
# opts in to modular op registration support by default.
build --define framework_shared_object=true
build --define tsl_protobuf_header_only=true

build --define=use_fast_cpp_protos=true
build --define=allow_oversize_protos=true

// - sets up call to send AuditLog
//
// While this is a middleware function (i.e. it takes a handler function and
// returns one), due to flags being passed based on required conditions, it is
// done per-"handler function registration" in the router.
//
// The passed in handler function must be a method of `adminAPIHandlers` for the
// name displayed in logs and trace to be accurate. The name is extracted via
// reflection.
//

mprovement title: '【第4回】FastAPIチュートリアル: toDoアプリを作ってみよう【管理者ページ改良編】' - author: ライトコードメディア編集部 author_link: https://rightcode.co.jp/author/jun link: https://rightcode.co.jp/blog/information-technology/fastapi-tutorial-todo-apps-authentication-user-registration title: '【第3回】FastAPIチュートリアル: toDoアプリを作ってみよう【認証・ユーザ登録編】' - author: ライトコードメディア編集部 author_link: https://rightcode.co.jp/author/jun link: https://rightcode.co.jp/blog/information-technology/fastapi-tutorial-todo-apps-model-building title: '【第2回】FastAPIチュートリアル:...