/// <summary>
/// Contexts are always created with a deadline and no RPCs within a deadline
/// will trigger a context garbage collection. KeepAlive calls can be used to
/// delay this. It can also be used to validate the existance of a context ID
/// on remote eager worker. If the context is on remote worker, return the same
/// ID and the current context view ID. This is useful for checking if the
/// remote worker (potentially with the same task name and hostname / port) is
/// replaced with a new process.
/// </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.Eager.KeepAliveResponse> KeepAliveAsync(global::Tensorflow.Eager.KeepAliveRequest request, grpc::Metadata headers = null, global::System.DateTime?deadline = null, global::System.Threading.CancellationToken cancellationToken = default(global::System.Threading.CancellationToken))
{
return(KeepAliveAsync(request, new grpc::CallOptions(headers, deadline, cancellationToken)));
}
/// <summary>
/// Contexts are always created with a deadline and no RPCs within a deadline
/// will trigger a context garbage collection. KeepAlive calls can be used to
/// delay this. It can also be used to validate the existance of a context ID
/// on remote eager worker. If the context is on remote worker, return the same
/// ID and the current context view ID. This is useful for checking if the
/// remote worker (potentially with the same task name and hostname / port) is
/// replaced with a new process.
/// </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.Eager.KeepAliveResponse> KeepAliveAsync(global::Tensorflow.Eager.KeepAliveRequest request, grpc::CallOptions options)
{
return(CallInvoker.AsyncUnaryCall(__Method_KeepAlive, null, options, request));
}
/// <summary>
/// Contexts are always created with a deadline and no RPCs within a deadline
/// will trigger a context garbage collection. KeepAlive calls can be used to
/// delay this. It can also be used to validate the existance of a context ID
/// on remote eager worker. If the context is on remote worker, return the same
/// ID and the current context view ID. This is useful for checking if the
/// remote worker (potentially with the same task name and hostname / port) is
/// replaced with a new process.
/// </summary>
/// <param name="request">The request to send to the server.</param>
/// <param name="options">The options for the call.</param>
/// <returns>The response received from the server.</returns>
public virtual global::Tensorflow.Eager.KeepAliveResponse KeepAlive(global::Tensorflow.Eager.KeepAliveRequest request, grpc::CallOptions options)
{
return(CallInvoker.BlockingUnaryCall(__Method_KeepAlive, null, options, request));
}
