STT-tensorflow/tensorflow/g3doc/api_docs/cc/StructSessionOptions.md
Vijay Vasudevan ab34d55ce7 TensorFlow: more features, performance improvements, and doc fixes.
Changes:
- Add Split/Concat() methods to TensorUtil (meant for convenience, not
  speed) by Chris.

- Changes to linear algebra ops interface by Rasmus

- Tests for tensorboard by Daniel

- Fix bug in histogram calculation by Cassandra

- Added tool for backwards compatibility of OpDefs.  Tool
  Checks in history of opdefs and their changes, checks for
  backwards-incompatible changes.  All done by @josh11b

- Fix some protobuf example proto docs by Oliver

- Add derivative of MatrixDeterminant by @yaroslavvb

- Add a priority queue queue by @ebrevdo

- Doc and typo fixes by Aurelien and @dave-andersen

- Speed improvements to ConvBackwardFilter by @andydavis

- Improve speed of Alexnet on TitanX by @zheng-xq

- Add some host memory annotations to some GPU kernels by Yuan.

- Add support for doubles in histogram summary by @jmchen-g

Base CL: 108158338
2015-11-18 10:47:35 -08:00

1.8 KiB

Struct tensorflow::SessionOptions

Configuration information for a Session .

##Member Summary

##Member Details

Env* tensorflow::SessionOptions::env

The environment to use.

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

Configuration options.

tensorflow::SessionOptions::SessionOptions()