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+#Struct tensorflow::SessionOptions
+
+Configuration information for a Session .
+
+
+
+##Member Summary
+
+* [Env* tensorflow::SessionOptions::env](#Env_tensorflow_SessionOptions_env)
+ * The environment to use.
+* [string tensorflow::SessionOptions::target](#string_tensorflow_SessionOptions_target)
+ * The TensorFlow runtime to connect to.
+* [ConfigProto tensorflow::SessionOptions::config](#ConfigProto_tensorflow_SessionOptions_config)
+ * Configuration options.
+* [tensorflow::SessionOptions::SessionOptions](#tensorflow_SessionOptions_SessionOptions)
+
+##Member Details
+
+#### Env* tensorflow::SessionOptions::env {#Env_tensorflow_SessionOptions_env}
+
+The environment to use.
+
+
+
+#### string tensorflow::SessionOptions::target {#string_tensorflow_SessionOptions_target}
+
+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.
+
+#### ConfigProto tensorflow::SessionOptions::config {#ConfigProto_tensorflow_SessionOptions_config}
+
+Configuration options.
+
+
+
+#### tensorflow::SessionOptions::SessionOptions() {#tensorflow_SessionOptions_SessionOptions}
+
+
+
+