1
0
Fork 0
mirror of https://github.com/tensorflow/haskell.git synced 2024-12-26 19:49:46 +01:00
tensorflow-haskell/docs/haddock/tensorflow-0.1.0.2/TensorFlow-Session.html

19 lines
28 KiB
HTML
Raw Normal View History

2017-10-20 05:56:38 +02:00
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8" /><title>TensorFlow.Session</title><link href="ocean.css" rel="stylesheet" type="text/css" title="Ocean" /><script src="haddock-util.js" type="text/javascript"></script><script src="https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML" type="text/javascript"></script><script type="text/javascript">//<![CDATA[
window.onload = function () {pageLoad();setSynopsis("mini_TensorFlow-Session.html");};
//]]>
</script></head><body><div id="package-header"><ul class="links" id="page-menu"><li><a href="src/TensorFlow.Session.html">Source</a></li><li><a href="index.html">Contents</a></li><li><a href="doc-index.html">Index</a></li></ul><p class="caption">tensorflow-0.1.0.2: TensorFlow bindings.</p></div><div id="content"><div id="module-header"><table class="info"><tr><th>Safe Haskell</th><td>None</td></tr><tr><th>Language</th><td>Haskell2010</td></tr></table><p class="caption">TensorFlow.Session</p></div><div id="synopsis"><p id="control.syn" class="caption expander" onclick="toggleSection('syn')">Synopsis</p><ul id="section.syn" class="hide" onclick="toggleSection('syn')"><li class="src short"><span class="keyword">type</span> <a href="#t:Session">Session</a> = <a href="TensorFlow-Session.html#t:SessionT">SessionT</a> <a href="../base-4.9.1.0/System-IO.html#t:IO">IO</a></li><li class="src short"><span class="keyword">data</span> <a href="#t:SessionT">SessionT</a> m a</li><li class="src short"><span class="keyword">data</span> <a href="#t:Options">Options</a></li><li class="src short"><a href="#v:sessionConfig">sessionConfig</a> :: Lens' <a href="TensorFlow-Session.html#t:Options">Options</a> <a href="../tensorflow-proto-0.1.0.0/Proto-Tensorflow-Core-Protobuf-Config.html#t:ConfigProto">ConfigProto</a></li><li class="src short"><a href="#v:sessionTarget">sessionTarget</a> :: Lens' <a href="TensorFlow-Session.html#t:Options">Options</a> <a href="../bytestring-0.10.8.1/Data-ByteString.html#t:ByteString">ByteString</a></li><li class="src short"><a href="#v:sessionTracer">sessionTracer</a> :: Lens' <a href="TensorFlow-Session.html#t:Options">Options</a> Tracer</li><li class="src short"><a href="#v:runSession">runSession</a> :: (MonadMask m, <a href="../base-4.9.1.0/Control-Monad-IO-Class.html#t:MonadIO">MonadIO</a> m) =&gt; <a href="TensorFlow-Session.html#t:SessionT">SessionT</a> m a -&gt; m a</li><li class="src short"><a href="#v:runSessionWithOptions">runSessionWithOptions</a> :: (MonadMask m, <a href="../base-4.9.1.0/Control-Monad-IO-Class.html#t:MonadIO">MonadIO</a> m) =&gt; <a href="TensorFlow-Session.html#t:Options">Options</a> -&gt; <a href="TensorFlow-Session.html#t:SessionT">SessionT</a> m a -&gt; m a</li><li class="src short"><span class="keyword">class</span> <a href="../base-4.9.1.0/Control-Monad.html#t:Monad">Monad</a> m =&gt; <a href="#t:MonadBuild">MonadBuild</a> m <span class="keyword">where</span><ul class="subs"></ul></li><li class="src short"><a href="#v:extend">extend</a> :: <a href="../base-4.9.1.0/Control-Monad-IO-Class.html#t:MonadIO">MonadIO</a> m =&gt; <a href="TensorFlow-Session.html#t:SessionT">SessionT</a> m ()</li><li class="src short"><a href="#v:addGraphDef">addGraphDef</a> :: <a href="TensorFlow-Session.html#t:MonadBuild">MonadBuild</a> m =&gt; <a href="../tensorflow-proto-0.1.0.0/Proto-Tensorflow-Core-Framework-Graph.html#t:GraphDef">GraphDef</a> -&gt; m ()</li><li class="src short"><a href="#v:run">run</a> :: (<a href="../base-4.9.1.0/Control-Monad-IO-Class.html#t:MonadIO">MonadIO</a> m, <a href="TensorFlow-Nodes.html#t:Fetchable">Fetchable</a> t a) =&gt; t -&gt; <a href="TensorFlow-Session.html#t:SessionT">SessionT</a> m a</li><li class="src short"><a href="#v:runWithFeeds">runWithFeeds</a> :: (<a href="../base-4.9.1.0/Control-Monad-IO-Class.html#t:MonadIO">MonadIO</a> m, <a href="TensorFlow-Nodes.html#t:Fetchable">Fetchable</a> t a) =&gt; [<a href="TensorFlow-Tensor.html#t:Feed">Feed</a>] -&gt; t -&gt; <a href="TensorFlow-Session.html#t:SessionT">SessionT</a> m a</li><li class="src short"><a href="#v:run_">run_</a> :: (<a href="../base-4.9.1.0/Control-Monad-IO-Class.html#t:MonadIO">MonadIO</a> m, <a href="TensorFlow-Nodes.html#t:Nodes">Nodes</a> t) =&gt; t -&gt; <a href="TensorFlow-Session.html#t:SessionT">SessionT</a> m ()</li><li class="src short"><a href="#v:runWithFeeds_">runWithFeeds_</a> :: (<a href="../base-4.9.1.0/Control-Monad-IO-Class.html#t:MonadIO">MonadIO</a> m, <a href="TensorFlow-Nodes.html#t:Nodes">Nodes</a> t) =&gt; [<a href="TensorFlow-Tensor.html#t:Feed">Feed</a>] -&gt; t -&gt;
<code><a href="TensorFlow-Session.html#v:sessionTarget">sessionTarget</a></code>, <code><a href="TensorFlow-Session.html#v:sessionTracer">sessionTracer</a></code>, <code><a href="TensorFlow-Session.html#v:sessionConfig">sessionConfig</a></code>.</p></div><div class="subs instances"><p id="control.i:Options" class="caption collapser" onclick="toggleSection('i:Options')">Instances</p><div id="section.i:Options" class="show"><table><tr><td class="src clearfix"><span class="inst-left"><span id="control.i:id:Options:Default:1" class="instance expander" onclick="toggleSection('i:id:Options:Default:1')"></span> Default <a href="TensorFlow-Session.html#t:Options">Options</a></span> <a href="src/TensorFlow.Session.html#line-99" class="link">Source</a> <a href="#t:Options" class="selflink">#</a></td><td class="doc empty">&nbsp;</td></tr><tr><td colspan="2"><div id="section.i:id:Options:Default:1" class="inst-details hide"><div class="subs methods"><p class="caption">Methods</p><p class="src"><a href="#v:def">def</a> :: <a href="TensorFlow-Session.html#t:Options">Options</a></p></div></div></td></tr></table></div></div></div><div class="top"><p class="src"><a id="v:sessionConfig" class="def">sessionConfig</a> :: Lens' <a href="TensorFlow-Session.html#t:Options">Options</a> <a href="../tensorflow-proto-0.1.0.0/Proto-Tensorflow-Core-Protobuf-Config.html#t:ConfigProto">ConfigProto</a> <a href="src/TensorFlow.Session.html#sessionConfig" class="link">Source</a> <a href="#v:sessionConfig" class="selflink">#</a></p><div class="doc"><p>Uses the specified config for the created session.</p></div></div><div class="top"><p class="src"><a id="v:sessionTarget" class="def">sessionTarget</a> :: Lens' <a href="TensorFlow-Session.html#t:Options">Options</a> <a href="../bytestring-0.10.8.1/Data-ByteString.html#t:ByteString">ByteString</a> <a href="src/TensorFlow.Session.html#sessionTarget" class="link">Source</a> <a href="#v:sessionTarget" class="selflink">#</a></p><div class="doc"><p>Target can be: &quot;local&quot;, ip:port, host:port.
The set of supported factories depends on the linked in libraries.</p></div></div><div class="top"><p class="src"><a id="v:sessionTracer" class="def">sessionTracer</a> :: Lens' <a href="TensorFlow-Session.html#t:Options">Options</a> Tracer <a href="src/TensorFlow.Session.html#sessionTracer" class="link">Source</a> <a href="#v:sessionTracer" class="selflink">#</a></p><div class="doc"><p>Uses the given logger to monitor session progress.</p></div></div><div class="top"><p class="src"><a id="v:runSession" class="def">runSession</a> :: (MonadMask m, <a href="../base-4.9.1.0/Control-Monad-IO-Class.html#t:MonadIO">MonadIO</a> m) =&gt; <a href="TensorFlow-Session.html#t:SessionT">SessionT</a> m a -&gt; m a <a href="src/TensorFlow.Session.html#runSession" class="link">Source</a> <a href="#v:runSession" class="selflink">#</a></p><div class="doc"><p>Run <code><a href="TensorFlow-Session.html#t:Session">Session</a></code> actions in a new TensorFlow session.</p></div></div><div class="top"><p class="src"><a id="v:runSessionWithOptions" class="def">runSessionWithOptions</a> :: (MonadMask m, <a href="../base-4.9.1.0/Control-Monad-IO-Class.html#t:MonadIO">MonadIO</a> m) =&gt; <a href="TensorFlow-Session.html#t:Options">Options</a> -&gt; <a href="TensorFlow-Session.html#t:SessionT">SessionT</a> m a -&gt; m a <a href="src/TensorFlow.Session.html#runSessionWithOptions" class="link">Source</a> <a href="#v:runSessionWithOptions" class="selflink">#</a></p><div class="doc"><p>Run <code><a href="TensorFlow-Session.html#t:Session">Session</a></code> actions in a new TensorFlow session created with
the given option setter actions (<code><a href="TensorFlow-Session.html#v:sessionTarget">sessionTarget</a></code>, <code><a href="TensorFlow-Session.html#v:sessionConfig">sessionConfig</a></code>).</p></div></div><div class="top"><p class="src"><span class="keyword">class</span> <a href="../base-4.9.1.0/Control-Monad.html#t:Monad">Monad</a> m =&gt; <a id="t:MonadBuild" class="def">MonadBuild</a> m <span class="keyword">where</span> <a href="src/TensorFlow.Build.html#MonadBuild" class="link">Source</a> <a href="#t:MonadBuild" class="selflink">#</a></p><div class="doc"><p>Lift a <code><a href="TensorFlow-Build.html#t:Build">Build</a></code> action into a monad, including any explicit op renderings.</p></div><div class="subs minimal"><p class="caption">Minimal complete definition</p><p class="src"><a href="TensorFlow-Session.html#v:build">build</a></p></div><div class="subs methods"><p class="caption">Methods</p><p class="src"><a id="v:build" class="def">build</a> :: <a href="TensorFlow-Build.html#t:Build">Build</a> a -&gt; m a <a href="src/TensorFlow.Build.html#build" class="link">Source</a> <a href="#v:build" class="selflink">#</a></p></div><div class="subs instances"><p id="control.i:MonadBuild" class="caption collapser" onclick="toggleSection('i:MonadBuild')">Instances</p><div id="section.i:MonadBuild" class="show"><table><tr><td class="src clearfix"><span class="inst-left"><span id="control.i:ic:MonadBuild:MonadBuild:1" class="instance expander" onclick="toggleSection('i:ic:MonadBuild:MonadBuild:1')"></span> <a href="../base-4.9.1.0/Control-Monad.html#t:Monad">Monad</a> m =&gt; <a href="TensorFlow-Session.html#t:MonadBuild">MonadBuild</a> (<a href="TensorFlow-Build.html#t:BuildT">BuildT</a> m)</span> <a href="src/TensorFlow.Build.html#line-215" class="link">Source</a> <a href="#t:MonadBuild" class="selflink">#</a></td><td class="doc empty">&nbsp;</td></tr><tr><td colspan="2"><div id="section.i:ic:MonadBuild:MonadBuild:1" class="inst-details hide"><div class="subs methods"><p class="caption">Methods</p><p class="src"><a href="#v:build">build</a> :: <a href="TensorFlow-Build.html#t:Build">Build</a> a -&gt; <a href="TensorFlow-Build.html#t:BuildT">BuildT</a> m a <a href="src/TensorFlow.Build.html#build" class="link">Source</a> <a href="#v:build" class="selflink">#</a></p></div></div></td></tr><tr><td class="src clearfix"><span class="inst-left"><span id="control.i:ic:MonadBuild:MonadBuild:2" class="instance expander" onclick="toggleSection('i:ic:MonadBuild:MonadBuild:2')"></span> <a href="../base-4.9.1.0/Control-Monad.html#t:Monad">Monad</a> m =&gt; <a href="TensorFlow-Session.html#t:MonadBuild">MonadBuild</a> (<a href="TensorFlow-Session.html#t:SessionT">SessionT</a> m)</span> <a href="src/TensorFlow.Build.html#line-131" class="link">Source</a> <a href="#t:MonadBuild" class="selflink">#</a></td><td class="doc empty">&nbsp;</td></tr><tr><td colspan="2"><div id="section.i:ic:MonadBuild:MonadBuild:2" class="inst-details hide"><div class="subs methods"><p class="caption">Methods</p><p class="src"><a href="#v:build">build</a> :: <a href="TensorFlow-Build.html#t:Build">Build</a> a -&gt; <a href="TensorFlow-Session.html#t:SessionT">SessionT</a> m a <a href="src/TensorFlow.Build.html#build" class="link">Source</a> <a href="#v:build" class="selflink">#</a></p></div></div></td></tr></table></div></div></div><div class="top"><p class="src"><a id="v:extend" class="def">extend</a> :: <a href="../base-4.9.1.0/Control-Monad-IO-Class.html#t:MonadIO">MonadIO</a> m =&gt; <a href="TensorFlow-Session.html#t:SessionT">SessionT</a> m () <a href="src/TensorFlow.Session.html#extend" class="link">Source</a> <a href="#v:extend" class="selflink">#</a></p><div class="doc"><p>Add all pending rendered nodes to the TensorFlow graph and runs
any pending initializers.</p><p>Note that run, runWithFeeds, etc. will all call this function implicitly.</p></div></div><div class="top"><p class="src"><a id="v:addGraphDef" class="def">addGraphDef</a> :: <a href="TensorFlow-Session.html#t:MonadBuild">MonadBuild</a> m =&gt; <a href="../tensorflow-proto-0.1.0.0/Proto-Tensorflow-Core-Framework-Graph.html#t:GraphDef">GraphDef</a> -&gt; m () <a href="src/TensorFlow.Build.html#addGraphDef" class="link">Source</a> <a href="#v:addGraphDef" class="selflink">#</a></p></div><div class="top"><p class="src"><a id="v:run" class="def">run</a> :: (<a href="../base-4.9.1.0/Control-Monad-IO-Class.html#t:MonadIO">MonadIO</a> m, <a href="TensorFlow-Nodes.html#t:Fetchable">Fetchable</a> t a) =&gt; t -&gt; <a href="TensorFlow-Session.html#t:SessionT">SessionT</a> m a <a href="src/TensorFlow.Session.html#run" class="link">Source</a> <a href="#v:run" class="selflink">#</a></p><div class="doc"><p>Run a subgraph <code>t</code>, rendering any dependent nodes that aren't already
rendered, and fetch the corresponding values for <code>a</code>.</p></div></div><div class="top"><p class="src"><a id="v:runWithFeeds" class="def">runWithFeeds</a> :: (<a href="../base-4.9.1.0/Control-Monad-IO-Class.html#t:MonadIO">MonadIO</a> m, <a href="TensorFlow-Nodes.html#t:Fetchable">Fetchable</a> t a) =&gt; [<a href="TensorFlow-Tensor.html#t:Feed">Feed</a>] -&gt; t -&gt; <a href="TensorFlow-Session.html#t:SessionT">SessionT</a> m a <a href="src/TensorFlow.Session.html#runWithFeeds" class="link">Source</a> <a href="#v:runWithFeeds" class="selflink">#</a></p><div class="doc"><p>Run a subgraph <code>t</code>, rendering any dependent nodes that aren't already
rendered, feed the given input values, and fetch the corresponding result
values for <code>a</code>.</p></div></div><div class="top"><p class="src"><a id="v:run_" class="def">run_</a> :: (<a href="../base-4.9.1.0/Control-Monad-IO-Class.html#t:MonadIO">MonadIO</a> m, <a href="TensorFlow-Nodes.html#t:Nodes">Nodes</a> t) =&gt; t -&gt; <a href="TensorFlow-Session.html#t:SessionT">SessionT</a> m () <a href="src/TensorFlow.Session.html#run_" class="link">Source</a> <a href="#v:run_" class="selflink">#</a></p><div class="doc"><p>Run a subgraph <code>t</code>, rendering and extending any dependent nodes that aren't
already rendered. This behaves like <code><a href="TensorFlow-Session.html#v:run">run</a></code> except that it doesn't do any
fetches.</p></div></div><div class="top"><p class="src"><a id="v:runWithFeeds_" class="def">runWithFeeds_</a> :: (<a href="../base-4.9.1.0/Control-Monad-IO-Class.html#t:MonadIO">MonadIO</a> m, <a href="TensorFlow-Nodes.html#t:Nodes">Nodes</a> t) =&gt; [<a href="TensorFlow-Tensor.html#t:Feed">Feed</a>] -&gt; t -&gt; <a href="TensorFlow-Session.html#t:SessionT">SessionT</a> m () <a href="src/TensorFlow.Session.html#runWithFeeds_" class="link">Source</a> <a href="#v:runWithFeeds_" class="selflink">#</a></p><div class="doc"><p>Run a subgraph <code>t</code>, rendering any dependent nodes that aren't already
rendered, feed the given input values, and fetch the corresponding result
values for <code>a</code>. This behaves like <code><a href="TensorFlow-Session.html#v:runWithFeeds">runWithFeeds</a></code> except that it doesn't do
any fetches.</p></div></div><div class="top"><p class="src"><a id="v:asyncProdNodes" class="def">asyncProdNodes</a> <a href="src/TensorFlow.Session.html#asyncProdNodes" class="link">Source</a> <a href="#v:asyncProdNodes" class="selflink">#</a></p><div class="subs arguments"><p class="caption">Arguments</p><table><tr><td class="src">:: (<a href="../base-4.9.1.0/Control-Monad-IO-Class.html#t:MonadIO">MonadIO</a> m, <a href="TensorFlow-Nodes.html#t:Nodes">Nodes</a> t)</td><td class="doc empty">&nbsp;</td></tr><tr><td class="src">=&gt; t</td><td class="doc"><p>Node to evaluate concurrently.</p></td></tr><tr><td class="src">-&gt; <a href="TensorFlow-Session.html#t:SessionT">SessionT</a> m ()</td><td class="doc empty">&nbsp;</td></tr></table></div><div class="doc"><p>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.</p></div></div></div></div><div id="footer"><p>Produced by <a href="http://www.haskell.org/haddock/">Haddock</a> version 2.17.3</p></div></body></html>