/// <summary>
/// Reloads the set of served models. The new config supersedes the old one,
/// so if a model is omitted from the new config it will be unloaded and no
/// longer served.
/// </summary>
/// <param name="request">The request to send to the server.</param>
/// <param name="options">The options for the call.</param>
/// <returns>The call object.</returns>
public virtual grpc::AsyncUnaryCall <global::Tensorflow.Serving.ReloadConfigResponse> HandleReloadConfigRequestAsync(global::Tensorflow.Serving.ReloadConfigRequest request, grpc::CallOptions options)
{
return(CallInvoker.AsyncUnaryCall(__Method_HandleReloadConfigRequest, null, options, request));
}
/// <summary>
/// Reloads the set of served models. The new config supersedes the old one,
/// so if a model is omitted from the new config it will be unloaded and no
/// longer served.
/// </summary>
/// <param name="request">The request to send to the server.</param>
/// <param name="headers">The initial metadata to send with the call. This parameter is optional.</param>
/// <param name="deadline">An optional deadline for the call. The call will be cancelled if deadline is hit.</param>
/// <param name="cancellationToken">An optional token for canceling the call.</param>
/// <returns>The call object.</returns>
public virtual grpc::AsyncUnaryCall <global::Tensorflow.Serving.ReloadConfigResponse> HandleReloadConfigRequestAsync(global::Tensorflow.Serving.ReloadConfigRequest request, grpc::Metadata headers = null, global::System.DateTime?deadline = null, global::System.Threading.CancellationToken cancellationToken = default(global::System.Threading.CancellationToken))
{
return(HandleReloadConfigRequestAsync(request, new grpc::CallOptions(headers, deadline, cancellationToken)));
}