tensorflow-0.1.0.0: TensorFlow bindings.

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LanguageHaskell2010

TensorFlow.Session

Contents

Synopsis

Documentation

data Session a Source

Instances

Opaque value created via sessionConfig and sessionTarget.

data SessionOption Source

Setting of an option for the session (see runSessionWithOptions).

sessionConfig :: ConfigProto -> SessionOption Source

Uses the specified config for the created session.

sessionTarget :: ByteString -> SessionOption Source

Target can be: "local", ip:port, host:port. The set of supported factories depends on the linked in libraries. REQUIRES "/learningbrain/public:tensorflow_remote" dependency for the binary.

runSession :: Session a -> IO a Source

Run Session actions in a new TensorFlow session.

runSessionWithOptions :: [SessionOption] -> Session a -> IO a Source

Run Session actions in a new TensorFlow session created with the given option setter actions (sessionTarget, sessionConfig).

build :: Build a -> Session a Source

Lift a Build action into a Session, including any explicit op renderings.

buildAnd :: (a -> Session b) -> Build a -> Session b Source

Helper combinator for doing something with the result of a Build action. Example usage:

buildAnd run :: Fetchable t a => Build t -> Session a

buildWithSummary :: forall a. Build a -> Session (a, [SummaryTensor]) Source

Lift a Build action into a Session, including any explicit op renderings. Returns the merged summary ops which can be used for logging, see build for a convenient wrapper.

extend :: Session () Source

Add all pending rendered nodes to the TensorFlow graph and runs any pending initializers.

Note that run, runWithFeeds, etc. will all call this function implicitly.

addGraphDef :: GraphDef -> Build () Source

run :: Fetchable t a => t -> Session a Source

Run a subgraph t, rendering any dependent nodes that aren't already rendered, and fetch the corresponding values for a.

runWithFeeds :: Fetchable t a => [Feed] -> t -> Session a Source

Run a subgraph t, rendering any dependent nodes that aren't already rendered, feed the given input values, and fetch the corresponding result values for a.

run_ :: Nodes t => t -> Session () Source

Run a subgraph t, rendering and extending any dependent nodes that aren't already rendered. This behaves like run except that it doesn't do any fetches.

runWithFeeds_ :: Nodes t => [Feed] -> t -> Session () Source

Run a subgraph t, rendering any dependent nodes that aren't already rendered, feed the given input values, and fetch the corresponding result values for a. This behaves like runWithFeeds except that it doesn't do any fetches.

asyncProdNodes Source

Arguments

:: Nodes t 
=> t

Node to evaluate concurrently.

-> Session () 

Starts a concurrent thread which evaluates the given Nodes forever until runSession exits or an exception occurs. Graph extension happens synchronously, but the resultant run proceeds as a separate thread.