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#ifndef TENSORFLOW_PUBLIC_SESSION_OPTIONS_H_
#define TENSORFLOW_PUBLIC_SESSION_OPTIONS_H_
#include <string>
#include "tensorflow/core/framework/config.pb.h"
#include "tensorflow/core/platform/port.h"
namespace tensorflow {
class Env;
/// Configuration information for a Session.
struct SessionOptions {
/// The environment to use.
Env* env;
/// \brief The TensorFlow runtime to connect to.
///
/// If 'target' is empty or unspecified, the local TensorFlow runtime
/// implementation will be used. Otherwise, the TensorFlow engine
/// defined by 'target' will be used to perform all computations.
///
/// "target" can be either a single entry or a comma separated list
/// of entries. Each entry is a resolvable address of the
/// following format:
/// local
/// ip:port
/// host:port
/// ... other system-specific formats to identify tasks and jobs ...
///
/// NOTE: at the moment 'local' maps to an in-process service-based
/// runtime.
///
/// Upon creation, a single session affines itself to one of the
/// remote processes, with possible load balancing choices when the
/// "target" resolves to a list of possible processes.
///
/// If the session disconnects from the remote process during its
/// lifetime, session calls may fail immediately.
string target;
/// Configuration options.
ConfigProto config;
SessionOptions();
};
} // end namespace tensorflow
#endif // TENSORFLOW_PUBLIC_SESSION_OPTIONS_H_
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