Update haddock (#162)
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fkm3
Greg Steuck
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</script></head><body><div id="package-header"><ul class="links" id="page-menu"><li><a href="index.html">Contents</a></li><li><a href="doc-index.html">Index</a></li></ul><p class="caption empty"> </p></div><div id="content"><div id="alphabet"><ul><li><a href="doc-index-A.html">A</a></li><li><a href="doc-index-B.html">B</a></li><li><a href="doc-index-C.html">C</a></li><li><a href="doc-index-D.html">D</a></li><li><a href="doc-index-E.html">E</a></li><li><a href="doc-index-F.html">F</a></li><li><a href="doc-index-G.html">G</a></li><li><a href="doc-index-H.html">H</a></li><li><a href="doc-index-I.html">I</a></li><li><a href="doc-index-J.html">J</a></li><li><a href="doc-index-K.html">K</a></li><li><a href="doc-index-L.html">L</a></li><li><a href="doc-index-M.html">M</a></li><li><a href="doc-index-N.html">N</a></li><li><a href="doc-index-O.html">O</a></li><li><a href="doc-index-P.html">P</a></li><li><a href="doc-index-Q.html">Q</a></li><li><a href="doc-index-R.html">R</a></li><li><a href="doc-index-S.html">S</a></li><li><a href="doc-index-T.html">T</a></li><li><a href="doc-index-U.html">U</a></li><li><a href="doc-index-V.html">V</a></li><li><a href="doc-index-W.html">W</a></li><li><a href="doc-index-Z.html">Z</a></li><li><a href="doc-index-58.html">:</a></li><li><a href="doc-index-47.html">/</a></li><li><a href="doc-index-92.html">\</a></li><li><a href="doc-index-95.html">_</a></li><li><a href="doc-index-All.html">All</a></li></ul></div><div id="index"><p class="caption">Index - J</p><table><tr><td class="src">job</td><td class="module"><a href="./tensorflow-proto-0.1.0.0/Proto-Tensorflow-Core-Protobuf-Cluster.html#v:job">Proto.Tensorflow.Core.Protobuf.Cluster</a></td></tr><tr><td class="src">JobDef</td><td> </td></tr><tr><td class="alt">1 (Data Constructor)</td><td class="module"><a href="./tensorflow-proto-0.1.0.0/Proto-Tensorflow-Core-Protobuf-Cluster.html#v:JobDef">Proto.Tensorflow.Core.Protobuf.Cluster</a></td></tr><tr><td class="alt">2 (Type/Class)</td><td class="module"><a href="./tensorflow-proto-0.1.0.0/Proto-Tensorflow-Core-Protobuf-Cluster.html#t:JobDef">Proto.Tensorflow.Core.Protobuf.Cluster</a></td></tr><tr><td class="src">JobDef'TasksEntry</td><td> </td></tr><tr><td class="alt">1 (Data Constructor)</td><td class="module"><a href="./tensorflow-proto-0.1.0.0/Proto-Tensorflow-Core-Protobuf-Cluster.html#v:JobDef-39-TasksEntry">Proto.Tensorflow.Core.Protobuf.Cluster</a></td></tr><tr><td class="alt">2 (Type/Class)</td><td class="module"><a href="./tensorflow-proto-0.1.0.0/Proto-Tensorflow-Core-Protobuf-Cluster.html#t:JobDef-39-TasksEntry">Proto.Tensorflow.Core.Protobuf.Cluster</a></td></tr><tr><td class="src">jobName</td><td class="module"><a href="./tensorflow-proto-0.1.0.0/Proto-Tensorflow-Core-Protobuf-TensorflowServer.html#v:jobName">Proto.Tensorflow.Core.Protobuf.TensorflowServer</a></td></tr></table></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>
|
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<!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> (Index - Z)</title><link href="ocean.css" rel="stylesheet" type="text/css" title="Ocean" /><script src="haddock-util.js" type="text/javascript"></script><script type="text/javascript">//<![CDATA[
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window.onload = function () {pageLoad();};
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//]]>
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</script></head><body><div id="package-header"><ul class="links" id="page-menu"><li><a href="index.html">Contents</a></li><li><a href="doc-index.html">Index</a></li></ul><p class="caption empty"> </p></div><div id="content"><div id="alphabet"><ul><li><a href="doc-index-A.html">A</a></li><li><a href="doc-index-B.html">B</a></li><li><a href="doc-index-C.html">C</a></li><li><a href="doc-index-D.html">D</a></li><li><a href="doc-index-E.html">E</a></li><li><a href="doc-index-F.html">F</a></li><li><a href="doc-index-G.html">G</a></li><li><a href="doc-index-H.html">H</a></li><li><a href="doc-index-I.html">I</a></li><li><a href="doc-index-K.html">K</a></li><li><a href="doc-index-L.html">L</a></li><li><a href="doc-index-M.html">M</a></li><li><a href="doc-index-N.html">N</a></li><li><a href="doc-index-O.html">O</a></li><li><a href="doc-index-P.html">P</a></li><li><a href="doc-index-Q.html">Q</a></li><li><a href="doc-index-R.html">R</a></li><li><a href="doc-index-S.html">S</a></li><li><a href="doc-index-T.html">T</a></li><li><a href="doc-index-U.html">U</a></li><li><a href="doc-index-V.html">V</a></li><li><a href="doc-index-W.html">W</a></li><li><a href="doc-index-Z.html">Z</a></li><li><a href="doc-index-58.html">:</a></li><li><a href="doc-index-47.html">/</a></li><li><a href="doc-index-92.html">\</a></li><li><a href="doc-index-95.html">_</a></li><li><a href="doc-index-All.html">All</a></li></ul></div><div id="index"><p class="caption">Index - Z</p><table><tr><td class="src">zeroInitializedVariable</td><td class="module"><a href="./tensorflow-ops-0.1.0.0/TensorFlow-Ops.html#v:zeroInitializedVariable">TensorFlow.Ops</a></td></tr><tr><td class="src">zeroInitializedVariable'</td><td class="module"><a href="./tensorflow-ops-0.1.0.0/TensorFlow-Ops.html#v:zeroInitializedVariable-39-">TensorFlow.Ops</a></td></tr><tr><td class="src">zeros</td><td class="module"><a href="./tensorflow-ops-0.1.0.0/TensorFlow-Ops.html#v:zeros">TensorFlow.Ops</a></td></tr><tr><td class="src">zerosLike</td><td> </td></tr><tr><td class="alt">1 (Function)</td><td class="module"><a href="./tensorflow-core-ops-0.1.0.0/TensorFlow-GenOps-Core.html#v:zerosLike">TensorFlow.GenOps.Core</a></td></tr><tr><td class="alt">2 (Function)</td><td class="module"><a href="./tensorflow-ops-0.1.0.0/TensorFlow-Ops.html#v:zerosLike">TensorFlow.Ops</a></td></tr><tr><td class="src">zerosLike'</td><td> </td></tr><tr><td class="alt">1 (Function)</td><td class="module"><a href="./tensorflow-core-ops-0.1.0.0/TensorFlow-GenOps-Core.html#v:zerosLike-39-">TensorFlow.GenOps.Core</a></td></tr><tr><td class="alt">2 (Function)</td><td class="module"><a href="./tensorflow-ops-0.1.0.0/TensorFlow-Ops.html#v:zerosLike-39-">TensorFlow.Ops</a></td></tr><tr><td class="src">zeta</td><td class="module"><a href="./tensorflow-core-ops-0.1.0.0/TensorFlow-GenOps-Core.html#v:zeta">TensorFlow.GenOps.Core</a></td></tr><tr><td class="src">zeta'</td><td class="module"><a href="./tensorflow-core-ops-0.1.0.0/TensorFlow-GenOps-Core.html#v:zeta-39-">TensorFlow.GenOps.Core</a></td></tr></table></div></div><div id="footer"><p>Produced by <a href="http://www.haskell.org/haddock/">Haddock</a> version 2.16.1</p></div></body></html>
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</script></head><body><div id="package-header"><ul class="links" id="page-menu"><li><a href="index.html">Contents</a></li><li><a href="doc-index.html">Index</a></li></ul><p class="caption empty"> </p></div><div id="content"><div id="alphabet"><ul><li><a href="doc-index-A.html">A</a></li><li><a href="doc-index-B.html">B</a></li><li><a href="doc-index-C.html">C</a></li><li><a href="doc-index-D.html">D</a></li><li><a href="doc-index-E.html">E</a></li><li><a href="doc-index-F.html">F</a></li><li><a href="doc-index-G.html">G</a></li><li><a href="doc-index-H.html">H</a></li><li><a href="doc-index-I.html">I</a></li><li><a href="doc-index-J.html">J</a></li><li><a href="doc-index-K.html">K</a></li><li><a href="doc-index-L.html">L</a></li><li><a href="doc-index-M.html">M</a></li><li><a href="doc-index-N.html">N</a></li><li><a href="doc-index-O.html">O</a></li><li><a href="doc-index-P.html">P</a></li><li><a href="doc-index-Q.html">Q</a></li><li><a href="doc-index-R.html">R</a></li><li><a href="doc-index-S.html">S</a></li><li><a href="doc-index-T.html">T</a></li><li><a href="doc-index-U.html">U</a></li><li><a href="doc-index-V.html">V</a></li><li><a href="doc-index-W.html">W</a></li><li><a href="doc-index-Z.html">Z</a></li><li><a href="doc-index-58.html">:</a></li><li><a href="doc-index-47.html">/</a></li><li><a href="doc-index-92.html">\</a></li><li><a href="doc-index-95.html">_</a></li><li><a href="doc-index-All.html">All</a></li></ul></div><div id="index"><p class="caption">Index - Z</p><table><tr><td class="src">zeroInitializedVariable</td><td> </td></tr><tr><td class="alt">1 (Function)</td><td class="module"><a href="./tensorflow-ops-0.1.0.0/TensorFlow-Variable.html#v:zeroInitializedVariable">TensorFlow.Variable</a></td></tr><tr><td class="alt">2 (Function)</td><td class="module"><a href="./tensorflow-ops-0.1.0.0/TensorFlow-Ops.html#v:zeroInitializedVariable">TensorFlow.Ops</a></td></tr><tr><td class="src">zeroInitializedVariable'</td><td> </td></tr><tr><td class="alt">1 (Function)</td><td class="module"><a href="./tensorflow-ops-0.1.0.0/TensorFlow-Variable.html#v:zeroInitializedVariable-39-">TensorFlow.Variable</a></td></tr><tr><td class="alt">2 (Function)</td><td class="module"><a href="./tensorflow-ops-0.1.0.0/TensorFlow-Ops.html#v:zeroInitializedVariable-39-">TensorFlow.Ops</a></td></tr><tr><td class="src">zeros</td><td class="module"><a href="./tensorflow-ops-0.1.0.0/TensorFlow-Ops.html#v:zeros">TensorFlow.Ops</a></td></tr><tr><td class="src">zerosLike</td><td> </td></tr><tr><td class="alt">1 (Function)</td><td class="module"><a href="./tensorflow-core-ops-0.1.0.0/TensorFlow-GenOps-Core.html#v:zerosLike">TensorFlow.GenOps.Core</a></td></tr><tr><td class="alt">2 (Function)</td><td class="module"><a href="./tensorflow-ops-0.1.0.0/TensorFlow-Ops.html#v:zerosLike">TensorFlow.Ops</a></td></tr><tr><td class="src">zerosLike'</td><td> </td></tr><tr><td class="alt">1 (Function)</td><td class="module"><a href="./tensorflow-core-ops-0.1.0.0/TensorFlow-GenOps-Core.html#v:zerosLike-39-">TensorFlow.GenOps.Core</a></td></tr><tr><td class="alt">2 (Function)</td><td class="module"><a href="./tensorflow-ops-0.1.0.0/TensorFlow-Ops.html#v:zerosLike-39-">TensorFlow.Ops</a></td></tr><tr><td class="src">zeta</td><td class="module"><a href="./tensorflow-core-ops-0.1.0.0/TensorFlow-GenOps-Core.html#v:zeta">TensorFlow.GenOps.Core</a></td></tr><tr><td class="src">zeta'</td><td class="module"><a href="./tensorflow-core-ops-0.1.0.0/TensorFlow-GenOps-Core.html#v:zeta-39-">TensorFlow.GenOps.Core</a></td></tr><tr><td class="src">zipDataset</td><td class="module"><a href="./tensorflow-core-ops-0.1.0.0/TensorFlow-GenOps-Core.html#v:zipDataset">TensorFlow.GenOps.Core</a></td></tr><tr><td class="src">zipDataset'</td><td class="module"><a href="./tensorflow-core-ops-0.1.0.0/TensorFlow-GenOps-Core.html#v:zipDataset-39-">TensorFlow.GenOps.Core</a></td></tr></table></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>
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||||
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<!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> (Index)</title><link href="ocean.css" rel="stylesheet" type="text/css" title="Ocean" /><script src="haddock-util.js" type="text/javascript"></script><script type="text/javascript">//<![CDATA[
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window.onload = function () {pageLoad();};
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//]]>
|
||||
</script></head><body><div id="package-header"><ul class="links" id="page-menu"><li><a href="index.html">Contents</a></li><li><a href="doc-index.html">Index</a></li></ul><p class="caption empty"> </p></div><div id="content"><div id="alphabet"><ul><li><a href="doc-index-A.html">A</a></li><li><a href="doc-index-B.html">B</a></li><li><a href="doc-index-C.html">C</a></li><li><a href="doc-index-D.html">D</a></li><li><a href="doc-index-E.html">E</a></li><li><a href="doc-index-F.html">F</a></li><li><a href="doc-index-G.html">G</a></li><li><a href="doc-index-H.html">H</a></li><li><a href="doc-index-I.html">I</a></li><li><a href="doc-index-K.html">K</a></li><li><a href="doc-index-L.html">L</a></li><li><a href="doc-index-M.html">M</a></li><li><a href="doc-index-N.html">N</a></li><li><a href="doc-index-O.html">O</a></li><li><a href="doc-index-P.html">P</a></li><li><a href="doc-index-Q.html">Q</a></li><li><a href="doc-index-R.html">R</a></li><li><a href="doc-index-S.html">S</a></li><li><a href="doc-index-T.html">T</a></li><li><a href="doc-index-U.html">U</a></li><li><a href="doc-index-V.html">V</a></li><li><a href="doc-index-W.html">W</a></li><li><a href="doc-index-Z.html">Z</a></li><li><a href="doc-index-58.html">:</a></li><li><a href="doc-index-47.html">/</a></li><li><a href="doc-index-92.html">\</a></li><li><a href="doc-index-95.html">_</a></li><li><a href="doc-index-All.html">All</a></li></ul></div></div><div id="footer"><p>Produced by <a href="http://www.haskell.org/haddock/">Haddock</a> version 2.16.1</p></div></body></html>
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</script></head><body><div id="package-header"><ul class="links" id="page-menu"><li><a href="index.html">Contents</a></li><li><a href="doc-index.html">Index</a></li></ul><p class="caption empty"> </p></div><div id="content"><div id="alphabet"><ul><li><a href="doc-index-A.html">A</a></li><li><a href="doc-index-B.html">B</a></li><li><a href="doc-index-C.html">C</a></li><li><a href="doc-index-D.html">D</a></li><li><a href="doc-index-E.html">E</a></li><li><a href="doc-index-F.html">F</a></li><li><a href="doc-index-G.html">G</a></li><li><a href="doc-index-H.html">H</a></li><li><a href="doc-index-I.html">I</a></li><li><a href="doc-index-J.html">J</a></li><li><a href="doc-index-K.html">K</a></li><li><a href="doc-index-L.html">L</a></li><li><a href="doc-index-M.html">M</a></li><li><a href="doc-index-N.html">N</a></li><li><a href="doc-index-O.html">O</a></li><li><a href="doc-index-P.html">P</a></li><li><a href="doc-index-Q.html">Q</a></li><li><a href="doc-index-R.html">R</a></li><li><a href="doc-index-S.html">S</a></li><li><a href="doc-index-T.html">T</a></li><li><a href="doc-index-U.html">U</a></li><li><a href="doc-index-V.html">V</a></li><li><a href="doc-index-W.html">W</a></li><li><a href="doc-index-Z.html">Z</a></li><li><a href="doc-index-58.html">:</a></li><li><a href="doc-index-47.html">/</a></li><li><a href="doc-index-92.html">\</a></li><li><a href="doc-index-95.html">_</a></li><li><a href="doc-index-All.html">All</a></li></ul></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>
|
||||
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@ -1,30 +0,0 @@
|
|||
<!DOCTYPE html
|
||||
PUBLIC "-//W3C//DTD XHTML 1.0 Frameset//EN"
|
||||
"http://www.w3.org/TR/xhtml1/DTD/xhtml1-frameset.dtd">
|
||||
<html xmlns="http://www.w3.org/1999/xhtml">
|
||||
<head>
|
||||
<title></title>
|
||||
<script src="haddock-util.js" type="text/javascript"></script>
|
||||
<script type="text/javascript"><!--
|
||||
/*
|
||||
|
||||
The synopsis frame needs to be updated using javascript, so we hide
|
||||
it by default and only show it if javascript is enabled.
|
||||
|
||||
TODO: provide some means to disable it.
|
||||
*/
|
||||
function load() {
|
||||
var d = document.getElementById("inner-fs");
|
||||
d.rows = "50%,50%";
|
||||
postReframe();
|
||||
}
|
||||
--></script>
|
||||
</head>
|
||||
<frameset id="outer-fs" cols="25%,75%" onload="load()">
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||||
<frameset id="inner-fs" rows="100%,0%">
|
||||
<frame src="index-frames.html" name="modules" />
|
||||
<frame src="" name="synopsis" />
|
||||
</frameset>
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<frame src="index.html" name="main" />
|
||||
</frameset>
|
||||
</html>
|
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@ -131,11 +131,11 @@ function perform_search(full)
|
|||
var text = document.getElementById("searchbox").value.toLowerCase();
|
||||
if (text == last_search && !full) return;
|
||||
last_search = text;
|
||||
|
||||
|
||||
var table = document.getElementById("indexlist");
|
||||
var status = document.getElementById("searchmsg");
|
||||
var children = table.firstChild.childNodes;
|
||||
|
||||
|
||||
// first figure out the first node with the prefix
|
||||
var first = bisect(-1);
|
||||
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|
||||
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|
|||
status.innerHTML = "";
|
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}
|
||||
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||||
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||||
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||||
function setclass(first, last, status)
|
||||
{
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||||
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|
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}
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|
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|
||||
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||||
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||||
|
||||
// do a binary search, treating 0 as ...
|
||||
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|
||||
function bisect(dir)
|
||||
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|
|||
if (checkitem(i) == 0) return i;
|
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}
|
||||
return -1;
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
|
||||
|
||||
// from an index, decide what the result is
|
||||
// 0 = match, -1 is lower, 1 is higher
|
||||
function checkitem(i)
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||||
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|
|||
if (s == text) return 0;
|
||||
else return (s > text ? -1 : 1);
|
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}
|
||||
|
||||
|
||||
|
||||
|
||||
// from an index, get its string
|
||||
// this abstracts over alternates
|
||||
function getitem(i)
|
||||
|
|
@ -229,7 +229,7 @@ function perform_search(full)
|
|||
}
|
||||
|
||||
function setSynopsis(filename) {
|
||||
if (parent.window.synopsis) {
|
||||
if (parent.window.synopsis && parent.window.synopsis.location) {
|
||||
if (parent.window.synopsis.location.replace) {
|
||||
// In Firefox this avoids adding the change to the history.
|
||||
parent.window.synopsis.location.replace(filename);
|
||||
|
|
@ -248,33 +248,6 @@ function addMenuItem(html) {
|
|||
}
|
||||
}
|
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<!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.ControlFlow</title><link href="ocean.css" rel="stylesheet" type="text/css" title="Ocean" /><script src="haddock-util.js" type="text/javascript"></script><script type="text/javascript">//<![CDATA[
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</script></head><body><div id="package-header"><ul class="links" id="page-menu"><li><a href="index.html">Contents</a></li><li><a href="doc-index.html">Index</a></li></ul><p class="caption">tensorflow-0.1.0.0: 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.ControlFlow</p></div><div id="table-of-contents"><p class="caption">Contents</p><ul><li><a href="#g:1">Dependencies</a></li><li><a href="#g:2">Operations</a></li></ul></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"><a href="#v:withControlDependencies">withControlDependencies</a> :: (<a href="TensorFlow-Build.html#t:MonadBuild">MonadBuild</a> m, <a href="TensorFlow-Nodes.html#t:Nodes">Nodes</a> t) => t -> m a -> m a</li><li class="src short"><a href="#v:group">group</a> :: (<a href="TensorFlow-Build.html#t:MonadBuild">MonadBuild</a> m, <a href="TensorFlow-Nodes.html#t:Nodes">Nodes</a> t) => t -> m <a href="TensorFlow-Output.html#t:ControlNode">ControlNode</a></li><li class="src short"><a href="#v:noOp">noOp</a> :: <a href="TensorFlow-Build.html#t:MonadBuild">MonadBuild</a> m => m <a href="TensorFlow-Output.html#t:ControlNode">ControlNode</a></li></ul></div><div id="interface"><h1 id="g:1">Dependencies</h1><div class="top"><p class="src"><a name="v:withControlDependencies" class="def">withControlDependencies</a> :: (<a href="TensorFlow-Build.html#t:MonadBuild">MonadBuild</a> m, <a href="TensorFlow-Nodes.html#t:Nodes">Nodes</a> t) => t -> m a -> m a</p><div class="doc"><p>Modify a <code><a href="TensorFlow-Build.html#t:Build">Build</a></code> action, such that all new ops rendered in it will depend
|
||||
on the nodes in the first argument.</p></div></div><div class="top"><p class="src"><a name="v:group" class="def">group</a> :: (<a href="TensorFlow-Build.html#t:MonadBuild">MonadBuild</a> m, <a href="TensorFlow-Nodes.html#t:Nodes">Nodes</a> t) => t -> m <a href="TensorFlow-Output.html#t:ControlNode">ControlNode</a></p><div class="doc"><p>Create an op that groups multiple operations.</p><p>When this op finishes, all ops in the input <code>n</code> have finished. This op has
|
||||
no output.</p></div></div><h1 id="g:2">Operations</h1><div class="top"><p class="src"><a name="v:noOp" class="def">noOp</a> :: <a href="TensorFlow-Build.html#t:MonadBuild">MonadBuild</a> m => m <a href="TensorFlow-Output.html#t:ControlNode">ControlNode</a></p><div class="doc"><p>Does nothing. Only useful as a placeholder for control edges.</p></div></div></div></div><div id="footer"><p>Produced by <a href="http://www.haskell.org/haddock/">Haddock</a> version 2.16.1</p></div></body></html>
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<!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.Internal.VarInt</title><link href="ocean.css" rel="stylesheet" type="text/css" title="Ocean" /><script src="haddock-util.js" type="text/javascript"></script><script type="text/javascript">//<![CDATA[
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window.onload = function () {pageLoad();setSynopsis("mini_TensorFlow-Internal-VarInt.html");};
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//]]>
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</script></head><body><div id="package-header"><ul class="links" id="page-menu"><li><a href="index.html">Contents</a></li><li><a href="doc-index.html">Index</a></li></ul><p class="caption">tensorflow-0.1.0.0: TensorFlow bindings.</p></div><div id="content"><div id="module-header"><table class="info"><tr><th>Safe Haskell</th><td>Safe</td></tr><tr><th>Language</th><td>Haskell2010</td></tr></table><p class="caption">TensorFlow.Internal.VarInt</p></div><div id="description"><p class="caption">Description</p><div class="doc"><p>Originally taken from internal proto-lens code.</p></div></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"><a href="#v:getVarInt">getVarInt</a> :: Parser <a href="../base-4.8.2.0/Data-Word.html#t:Word64">Word64</a></li><li class="src short"><a href="#v:putVarInt">putVarInt</a> :: <a href="../base-4.8.2.0/Data-Word.html#t:Word64">Word64</a> -> <a href="../bytestring-0.10.6.0/Data-ByteString-Builder.html#t:Builder">Builder</a></li></ul></div><div id="interface"><h1>Documentation</h1><div class="top"><p class="src"><a name="v:getVarInt" class="def">getVarInt</a> :: Parser <a href="../base-4.8.2.0/Data-Word.html#t:Word64">Word64</a></p><div class="doc"><p>Decode an unsigned varint.</p></div></div><div class="top"><p class="src"><a name="v:putVarInt" class="def">putVarInt</a> :: <a href="../base-4.8.2.0/Data-Word.html#t:Word64">Word64</a> -> <a href="../bytestring-0.10.6.0/Data-ByteString-Builder.html#t:Builder">Builder</a></p><div class="doc"><p>Encode a Word64.</p></div></div></div></div><div id="footer"><p>Produced by <a href="http://www.haskell.org/haddock/">Haddock</a> version 2.16.1</p></div></body></html>
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<!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-0.1.0.0: TensorFlow bindings. (Index - |)</title><link href="ocean.css" rel="stylesheet" type="text/css" title="Ocean" /><script src="haddock-util.js" type="text/javascript"></script><script type="text/javascript">//<![CDATA[
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//]]>
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</script></head><body><div id="package-header"><ul class="links" id="page-menu"><li><a href="index.html">Contents</a></li><li><a href="doc-index.html">Index</a></li></ul><p class="caption">tensorflow-0.1.0.0: TensorFlow bindings.</p></div><div id="content"><div id="alphabet"><ul><li><a href="doc-index-A.html">A</a></li><li><a href="doc-index-B.html">B</a></li><li><a href="doc-index-C.html">C</a></li><li><a href="doc-index-D.html">D</a></li><li><a href="doc-index-E.html">E</a></li><li><a href="doc-index-F.html">F</a></li><li><a href="doc-index-G.html">G</a></li><li><a href="doc-index-H.html">H</a></li><li><a href="doc-index-I.html">I</a></li><li><a href="doc-index-L.html">L</a></li><li><a href="doc-index-N.html">N</a></li><li><a href="doc-index-O.html">O</a></li><li><a href="doc-index-P.html">P</a></li><li><a href="doc-index-R.html">R</a></li><li><a href="doc-index-S.html">S</a></li><li><a href="doc-index-T.html">T</a></li><li><a href="doc-index-U.html">U</a></li><li><a href="doc-index-V.html">V</a></li><li><a href="doc-index-W.html">W</a></li><li><a href="doc-index-58.html">:</a></li><li><a href="doc-index-47.html">/</a></li><li><a href="doc-index-92.html">\</a></li><li><a href="doc-index-124.html">|</a></li><li><a href="doc-index-95.html">_</a></li><li><a href="doc-index-All.html">All</a></li></ul></div><div id="index"><p class="caption">Index - |</p><table><tr><td class="src">|:|</td><td class="module"><a href="TensorFlow-Types.html#v:-124-:-124-">TensorFlow.Types</a></td></tr></table></div></div><div id="footer"><p>Produced by <a href="http://www.haskell.org/haddock/">Haddock</a> version 2.16.1</p></div></body></html>
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<!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-0.1.0.0: TensorFlow bindings. (Index - R)</title><link href="ocean.css" rel="stylesheet" type="text/css" title="Ocean" /><script src="haddock-util.js" type="text/javascript"></script><script type="text/javascript">//<![CDATA[
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window.onload = function () {pageLoad();};
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//]]>
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</script></head><body><div id="package-header"><ul class="links" id="page-menu"><li><a href="index.html">Contents</a></li><li><a href="doc-index.html">Index</a></li></ul><p class="caption">tensorflow-0.1.0.0: TensorFlow bindings.</p></div><div id="content"><div id="alphabet"><ul><li><a href="doc-index-A.html">A</a></li><li><a href="doc-index-B.html">B</a></li><li><a href="doc-index-C.html">C</a></li><li><a href="doc-index-D.html">D</a></li><li><a href="doc-index-E.html">E</a></li><li><a href="doc-index-F.html">F</a></li><li><a href="doc-index-G.html">G</a></li><li><a href="doc-index-H.html">H</a></li><li><a href="doc-index-I.html">I</a></li><li><a href="doc-index-L.html">L</a></li><li><a href="doc-index-M.html">M</a></li><li><a href="doc-index-N.html">N</a></li><li><a href="doc-index-O.html">O</a></li><li><a href="doc-index-P.html">P</a></li><li><a href="doc-index-R.html">R</a></li><li><a href="doc-index-S.html">S</a></li><li><a href="doc-index-T.html">T</a></li><li><a href="doc-index-U.html">U</a></li><li><a href="doc-index-V.html">V</a></li><li><a href="doc-index-W.html">W</a></li><li><a href="doc-index-58.html">:</a></li><li><a href="doc-index-47.html">/</a></li><li><a href="doc-index-92.html">\</a></li><li><a href="doc-index-95.html">_</a></li><li><a href="doc-index-All.html">All</a></li></ul></div><div id="index"><p class="caption">Index - R</p><table><tr><td class="src">Ref</td><td> </td></tr><tr><td class="alt">1 (Type/Class)</td><td class="module"><a href="TensorFlow-Tensor.html#t:Ref">TensorFlow.Tensor</a>, <a href="TensorFlow-Core.html#t:Ref">TensorFlow.Core</a></td></tr><tr><td class="alt">2 (Data Constructor)</td><td class="module"><a href="TensorFlow-Tensor.html#v:Ref">TensorFlow.Tensor</a></td></tr><tr><td class="src">render</td><td class="module"><a href="TensorFlow-Tensor.html#v:render">TensorFlow.Tensor</a>, <a href="TensorFlow-Core.html#v:render">TensorFlow.Core</a></td></tr><tr><td class="src">Rendered</td><td class="module"><a href="TensorFlow-Tensor.html#t:Rendered">TensorFlow.Tensor</a></td></tr><tr><td class="src">rendered</td><td class="module"><a href="TensorFlow-Tensor.html#v:rendered">TensorFlow.Tensor</a></td></tr><tr><td class="src">renderedNodeDefs</td><td class="module"><a href="TensorFlow-Build.html#v:renderedNodeDefs">TensorFlow.Build</a></td></tr><tr><td class="src">renderedOutput</td><td class="module"><a href="TensorFlow-Tensor.html#v:renderedOutput">TensorFlow.Tensor</a></td></tr><tr><td class="src">renderValue</td><td class="module"><a href="TensorFlow-Tensor.html#v:renderValue">TensorFlow.Tensor</a></td></tr><tr><td class="src">ResourceHandle</td><td> </td></tr><tr><td class="alt">1 (Type/Class)</td><td class="module"><a href="TensorFlow-Output.html#t:ResourceHandle">TensorFlow.Output</a></td></tr><tr><td class="alt">2 (Data Constructor)</td><td class="module"><a href="TensorFlow-Output.html#v:ResourceHandle">TensorFlow.Output</a></td></tr><tr><td class="src">run</td><td> </td></tr><tr><td class="alt">1 (Function)</td><td class="module"><a href="TensorFlow-Internal-FFI.html#v:run">TensorFlow.Internal.FFI</a></td></tr><tr><td class="alt">2 (Function)</td><td class="module"><a href="TensorFlow-Session.html#v:run">TensorFlow.Session</a>, <a href="TensorFlow-Core.html#v:run">TensorFlow.Core</a></td></tr><tr><td class="src">runBuildT</td><td class="module"><a href="TensorFlow-Build.html#v:runBuildT">TensorFlow.Build</a></td></tr><tr><td class="src">runRef</td><td class="module"><a href="TensorFlow-Tensor.html#v:runRef">TensorFlow.Tensor</a></td></tr><tr><td class="src">runSession</td><td class="module"><a href="TensorFlow-Session.html#v:runSession">TensorFlow.Session</a>, <a href="TensorFlow-Core.html#v:runSession">TensorFlow.Core</a></td></tr><tr><td class="src">runSessionWithOptions</td><td class="module"><a href="TensorFlow-Session.html#v:runSessionWithOptions">TensorFlow.Session</a>, <a href="TensorFlow-Core.html#v:runSessionWithOptions">TensorFlow.Core</a></td></tr><tr><td class="src">runValue</td><td class="module"><a href="TensorFlow-Tensor.html#v:runValue">TensorFlow.Tensor</a></td></tr><tr><td class="src">runWithFeeds</td><td class="module"><a href="TensorFlow-Session.html#v:runWithFeeds">TensorFlow.Session</a>, <a href="TensorFlow-Core.html#v:runWithFeeds">TensorFlow.Core</a></td></tr><tr><td class="src">runWithFeeds_</td><td class="module"><a href="TensorFlow-Session.html#v:runWithFeeds_">TensorFlow.Session</a>, <a href="TensorFlow-Core.html#v:runWithFeeds_">TensorFlow.Core</a></td></tr><tr><td class="src">run_</td><td class="module"><a href="TensorFlow-Session.html#v:run_">TensorFlow.Session</a>, <a href="TensorFlow-Core.html#v:run_">TensorFlow.Core</a></td></tr></table></div></div><div id="footer"><p>Produced by <a href="http://www.haskell.org/haddock/">Haddock</a> version 2.16.1</p></div></body></html>
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<!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-0.1.0.0: TensorFlow bindings.</title><link href="ocean.css" rel="stylesheet" type="text/css" title="Ocean" /><script src="haddock-util.js" type="text/javascript"></script><script type="text/javascript">//<![CDATA[
|
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//]]>
|
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</script></head><body id="mini"><div id="module-list"><p class="caption">Modules</p><ul><li class="module"><a href="TensorFlow-Build.html" target="main">TensorFlow.Build</a></li><li class="module"><a href="TensorFlow-BuildOp.html" target="main">TensorFlow.BuildOp</a></li><li class="module"><a href="TensorFlow-ControlFlow.html" target="main">TensorFlow.ControlFlow</a></li><li class="module"><a href="TensorFlow-Core.html" target="main">TensorFlow.Core</a></li><li class="module"><a href="TensorFlow-Internal-FFI.html" target="main">TensorFlow.Internal.FFI</a></li><li class="module"><a href="TensorFlow-Internal-VarInt.html" target="main">TensorFlow.Internal.VarInt</a></li><li class="module"><a href="TensorFlow-Nodes.html" target="main">TensorFlow.Nodes</a></li><li class="module"><a href="TensorFlow-Output.html" target="main">TensorFlow.Output</a></li><li class="module"><a href="TensorFlow-Session.html" target="main">TensorFlow.Session</a></li><li class="module"><a href="TensorFlow-Tensor.html" target="main">TensorFlow.Tensor</a></li><li class="module"><a href="TensorFlow-Types.html" target="main">TensorFlow.Types</a></li></ul></div></body></html>
|
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|
|
@ -1,4 +0,0 @@
|
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<!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-0.1.0.0: TensorFlow bindings.</title><link href="ocean.css" rel="stylesheet" type="text/css" title="Ocean" /><script src="haddock-util.js" type="text/javascript"></script><script type="text/javascript">//<![CDATA[
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</script></head><body><div id="package-header"><ul class="links" id="page-menu"><li><a href="index.html">Contents</a></li><li><a href="doc-index.html">Index</a></li></ul><p class="caption">tensorflow-0.1.0.0: TensorFlow bindings.</p></div><div id="content"><div id="description"><h1>tensorflow-0.1.0.0: TensorFlow bindings.</h1><div class="doc"><p>Please see README.md</p></div></div><div id="module-list"><p class="caption">Modules</p><ul><li><span id="control.n.1" class="module collapser" onclick="toggleSection('n.1')">TensorFlow</span><ul id="section.n.1" class="show"><li><span class="module"><a href="TensorFlow-Build.html">TensorFlow.Build</a></span></li><li><span class="module"><a href="TensorFlow-BuildOp.html">TensorFlow.BuildOp</a></span></li><li><span class="module"><a href="TensorFlow-ControlFlow.html">TensorFlow.ControlFlow</a></span></li><li><span class="module"><a href="TensorFlow-Core.html">TensorFlow.Core</a></span></li><li><span id="control.n.1.5" class="module collapser" onclick="toggleSection('n.1.5')">Internal</span><ul id="section.n.1.5" class="show"><li><span class="module"><a href="TensorFlow-Internal-FFI.html">TensorFlow.Internal.FFI</a></span></li><li><span class="module"><a href="TensorFlow-Internal-VarInt.html">TensorFlow.Internal.VarInt</a></span> Encoders and decoders for varint types.</li></ul></li><li><span class="module"><a href="TensorFlow-Nodes.html">TensorFlow.Nodes</a></span></li><li><span class="module"><a href="TensorFlow-Output.html">TensorFlow.Output</a></span></li><li><span class="module"><a href="TensorFlow-Session.html">TensorFlow.Session</a></span></li><li><span class="module"><a href="TensorFlow-Tensor.html">TensorFlow.Tensor</a></span></li><li><span class="module"><a href="TensorFlow-Types.html">TensorFlow.Types</a></span></li></ul></li></ul></div></div><div id="footer"><p>Produced by <a href="http://www.haskell.org/haddock/">Haddock</a> version 2.16.1</p></div></body></html>
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File diff suppressed because one or more lines are too long
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@ -1,4 +0,0 @@
|
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<!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 type="text/javascript">//<![CDATA[
|
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window.onload = function () {pageLoad();};
|
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//]]>
|
||||
</script></head><body id="mini"><div id="module-header"><p class="caption">TensorFlow.Session</p></div><div id="interface"><div class="top"><p class="src"><span class="keyword">data</span> <a href="TensorFlow-Session.html#t:Session" target="main">Session</a> a</p></div><div class="top"><p class="src"><span class="keyword">data</span> <a href="TensorFlow-Session.html#t:Options" target="main">Options</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Session.html#v:sessionConfig" target="main">sessionConfig</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Session.html#v:sessionTarget" target="main">sessionTarget</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Session.html#v:sessionTracer" target="main">sessionTracer</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Session.html#v:runSession" target="main">runSession</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Session.html#v:runSessionWithOptions" target="main">runSessionWithOptions</a></p></div><div class="top"><p class="src"><span class="keyword">class</span> <a href="TensorFlow-Session.html#t:MonadBuild" target="main">MonadBuild</a> m</p></div><div class="top"><p class="src"><a href="TensorFlow-Session.html#v:extend" target="main">extend</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Session.html#v:addGraphDef" target="main">addGraphDef</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Session.html#v:run" target="main">run</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Session.html#v:runWithFeeds" target="main">runWithFeeds</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Session.html#v:run_" target="main">run_</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Session.html#v:runWithFeeds_" target="main">runWithFeeds_</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Session.html#v:asyncProdNodes" target="main">asyncProdNodes</a></p></div></div></body></html>
|
||||
|
|
@ -1,4 +0,0 @@
|
|||
<!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.Tensor</title><link href="ocean.css" rel="stylesheet" type="text/css" title="Ocean" /><script src="haddock-util.js" type="text/javascript"></script><script type="text/javascript">//<![CDATA[
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window.onload = function () {pageLoad();};
|
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//]]>
|
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</script></head><body id="mini"><div id="module-header"><p class="caption">TensorFlow.Tensor</p></div><div id="interface"><div class="top"><p class="src"><span class="keyword">data</span> <a href="TensorFlow-Tensor.html#t:Tensor" target="main">Tensor</a> v a</p></div><div class="top"><p class="src"><span class="keyword">data</span> <a href="TensorFlow-Tensor.html#t:Value" target="main">Value</a> a</p></div><div class="top"><p class="src"><span class="keyword">data</span> <a href="TensorFlow-Tensor.html#t:Ref" target="main">Ref</a> a</p></div><div class="top"><p class="src"><a href="TensorFlow-Tensor.html#v:value" target="main">value</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Tensor.html#v:renderValue" target="main">renderValue</a></p></div><div class="top"><p class="src"><span class="keyword">data</span> <a href="TensorFlow-Tensor.html#t:Feed" target="main">Feed</a></p></div><div class="top"><p class="src"><span class="keyword">class</span> <a href="TensorFlow-Tensor.html#t:Rendered" target="main">Rendered</a> v</p></div><div class="top"><p class="src"><a href="TensorFlow-Tensor.html#v:renderedOutput" target="main">renderedOutput</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Tensor.html#v:tensorNodeName" target="main">tensorNodeName</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Tensor.html#v:feed" target="main">feed</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Tensor.html#v:tensorFromName" target="main">tensorFromName</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Tensor.html#v:tensorValueFromName" target="main">tensorValueFromName</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Tensor.html#v:tensorRefFromName" target="main">tensorRefFromName</a></p></div><div class="top"><p class="src"><span class="keyword">type</span> <a href="TensorFlow-Tensor.html#t:TensorList" target="main">TensorList</a> v</p></div><div class="top"><p class="src"><a href="TensorFlow-Tensor.html#v:tensorListOutputs" target="main">tensorListOutputs</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Tensor.html#v:colocateWith" target="main">colocateWith</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Tensor.html#v:render" target="main">render</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Tensor.html#v:expr" target="main">expr</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Tensor.html#v:addSummary" target="main">addSummary</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Tensor.html#v:collectAllSummaries" target="main">collectAllSummaries</a></p></div><div class="top"><p class="src"><span class="keyword">type</span> <a href="TensorFlow-Tensor.html#t:SummaryTensor" target="main">SummaryTensor</a></p></div><div class="top"><p class="src"><span class="keyword">class</span> <a href="TensorFlow-Tensor.html#t:TensorKind" target="main">TensorKind</a> v</p></div></div></body></html>
|
||||
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|
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</script></head><body id="mini"><div id="module-header"><p class="caption">TensorFlow.Types</p></div><div id="interface"><div class="top"><p class="src"><span class="keyword">class</span> <a href="TensorFlow-Types.html#t:TensorType" target="main">TensorType</a> a</p></div><div class="top"><p class="src"><span class="keyword">data</span> <a href="TensorFlow-Types.html#t:TensorData" target="main">TensorData</a> a</p></div><div class="top"><p class="src"><span class="keyword">class</span> <a href="TensorFlow-Types.html#t:TensorDataType" target="main">TensorDataType</a> s a</p></div><div class="top"><p class="src"><span class="keyword">data</span> <a href="TensorFlow-Types.html#t:Scalar" target="main">Scalar</a> a</p></div><div class="top"><p class="src"><span class="keyword">data</span> <a href="TensorFlow-Types.html#t:Shape" target="main">Shape</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Types.html#v:protoShape" target="main">protoShape</a></p></div><div class="top"><p class="src"><span class="keyword">class</span> <a href="TensorFlow-Types.html#t:Attribute" target="main">Attribute</a> a</p></div><div class="top"><p class="src"><span class="keyword">data</span> <a href="TensorFlow-Types.html#t:DataType" target="main">DataType</a></p></div><h1>Lists</h1><div class="top"><p class="src"><span class="keyword">data</span> <a href="TensorFlow-Types.html#t:ListOf" target="main">ListOf</a> f as</p></div><div class="top"><p class="src"><span class="keyword">type</span> <a href="TensorFlow-Types.html#t:List" target="main">List</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Types.html#v:-47-:-47-" target="main">(/:/)</a></p></div><div class="top"><p class="src"><span class="keyword">data</span> <a href="TensorFlow-Types.html#t:TensorTypeProxy" target="main">TensorTypeProxy</a> a</p></div><div class="top"><p class="src"><span class="keyword">class</span> <a href="TensorFlow-Types.html#t:TensorTypes" target="main">TensorTypes</a> ts</p></div><div class="top"><p class="src"><span class="keyword">type</span> <a href="TensorFlow-Types.html#t:TensorTypeList" target="main">TensorTypeList</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Types.html#v:fromTensorTypeList" target="main">fromTensorTypeList</a></p></div><div class="top"><p class="src"><a href="TensorFlow-Types.html#v:fromTensorTypes" target="main">fromTensorTypes</a></p></div><h1>Type constraints</h1><div class="top"><p class="src"><span class="keyword">type</span> <a href="TensorFlow-Types.html#t:OneOf" target="main">OneOf</a> ts a</p></div><div class="top"><p class="src"><span class="keyword">type family</span> a <a href="#t:-47--61-">/=</a> b :: <a href="../base-4.8.2.0/GHC-Exts.html#t:Constraint">Constraint</a></p></div><div class="top"><p class="src"><span class="keyword">type</span> <a href="TensorFlow-Types.html#t:OneOfs" target="main">OneOfs</a> ts as</p></div><h2>Implementation of constraints</h2><div class="top"><p class="src"><span class="keyword">data</span> <a href="TensorFlow-Types.html#t:TypeError" target="main">TypeError</a> a</p></div><div class="top"><p class="src"><span class="keyword">data</span> <a href="TensorFlow-Types.html#t:ExcludedCase" target="main">ExcludedCase</a></p></div><div class="top"><p class="src"><span class="keyword">type family</span> <a href="#t:NoneOf">NoneOf</a> ts a :: <a href="../base-4.8.2.0/GHC-Exts.html#t:Constraint">Constraint</a></p></div><div class="top"><p class="src"><span class="keyword">type family</span> as <a href="#t:-92--92-">\\</a> bs</p></div><div class="top"><p class="src"><span class="keyword">type family</span> <a href="#t:Delete">Delete</a> a as</p></div><div class="top"><p class="src"><span class="keyword">type</span> <a href="TensorFlow-Types.html#t:AllTensorTypes" target="main">AllTensorTypes</a></p></div></div></body></html>
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|
||||
#interface table { border-spacing: 2px; }
|
||||
#interface td {
|
||||
vertical-align: top;
|
||||
padding-left: 0.5em;
|
||||
}
|
||||
#interface td.src {
|
||||
white-space: nowrap;
|
||||
}
|
||||
#interface td.doc p {
|
||||
margin: 0;
|
||||
}
|
||||
#interface td.doc p + p {
|
||||
margin-top: 0.8em;
|
||||
}
|
||||
|
||||
.clearfix:after {
|
||||
clear: both;
|
||||
content: " ";
|
||||
display: block;
|
||||
height: 0;
|
||||
visibility: hidden;
|
||||
}
|
||||
|
||||
.subs dl {
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
.subs dt {
|
||||
float: left;
|
||||
clear: left;
|
||||
display: block;
|
||||
margin: 1px 0;
|
||||
}
|
||||
|
||||
.subs dd {
|
||||
float: right;
|
||||
width: 90%;
|
||||
display: block;
|
||||
padding-left: 0.5em;
|
||||
margin-bottom: 0.5em;
|
||||
}
|
||||
|
||||
.subs dd.empty {
|
||||
display: none;
|
||||
}
|
||||
|
||||
.subs dd p {
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
/* Render short-style data instances */
|
||||
.inst ul {
|
||||
height: 100%;
|
||||
padding: 0.5em;
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
.inst, .inst li {
|
||||
list-style: none;
|
||||
margin-left: 1em;
|
||||
}
|
||||
|
||||
/* Workaround for bug in Firefox (issue #384) */
|
||||
.inst-left {
|
||||
float: left;
|
||||
}
|
||||
|
||||
.top p.src {
|
||||
border-top: 1px solid #ccc;
|
||||
}
|
||||
|
||||
.subs, .doc {
|
||||
/* use this selector for one level of indent */
|
||||
padding-left: 2em;
|
||||
}
|
||||
|
||||
.warning {
|
||||
color: red;
|
||||
}
|
||||
|
||||
.arguments {
|
||||
margin-top: -0.4em;
|
||||
}
|
||||
.arguments .caption {
|
||||
display: none;
|
||||
}
|
||||
|
||||
.fields { padding-left: 1em; }
|
||||
|
||||
.fields .caption { display: none; }
|
||||
|
||||
.fields p { margin: 0 0; }
|
||||
|
||||
/* this seems bulky to me
|
||||
.methods, .constructors {
|
||||
background: #f8f8f8;
|
||||
border: 1px solid #eee;
|
||||
}
|
||||
*/
|
||||
|
||||
/* @end */
|
||||
|
||||
/* @group Auxillary Pages */
|
||||
|
||||
|
||||
.extension-list {
|
||||
list-style-type: none;
|
||||
margin-left: 0;
|
||||
}
|
||||
|
||||
#mini {
|
||||
margin: 0 auto;
|
||||
padding: 0 1em 1em;
|
||||
}
|
||||
|
||||
#mini > * {
|
||||
font-size: 93%; /* 12pt */
|
||||
}
|
||||
|
||||
#mini #module-list .caption,
|
||||
#mini #module-header .caption {
|
||||
font-size: 125%; /* 15pt */
|
||||
}
|
||||
|
||||
#mini #interface h1,
|
||||
#mini #interface h2,
|
||||
#mini #interface h3,
|
||||
#mini #interface h4 {
|
||||
font-size: 109%; /* 13pt */
|
||||
margin: 1em 0 0;
|
||||
}
|
||||
|
||||
#mini #interface .top,
|
||||
#mini #interface .src {
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
#mini #module-list ul {
|
||||
list-style: none;
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
#alphabet ul {
|
||||
list-style: none;
|
||||
padding: 0;
|
||||
margin: 0.5em 0 0;
|
||||
text-align: center;
|
||||
}
|
||||
|
||||
#alphabet li {
|
||||
display: inline;
|
||||
margin: 0 0.25em;
|
||||
}
|
||||
|
||||
#alphabet a {
|
||||
font-weight: bold;
|
||||
}
|
||||
|
||||
#index .caption,
|
||||
#module-list .caption { font-size: 131%; /* 17pt */ }
|
||||
|
||||
#index table {
|
||||
margin-left: 2em;
|
||||
}
|
||||
|
||||
#index .src {
|
||||
font-weight: bold;
|
||||
}
|
||||
#index .alt {
|
||||
font-size: 77%; /* 10pt */
|
||||
font-style: italic;
|
||||
padding-left: 2em;
|
||||
}
|
||||
|
||||
#index td + td {
|
||||
padding-left: 1em;
|
||||
}
|
||||
|
||||
#module-list ul {
|
||||
list-style: none;
|
||||
margin: 0 0 0 2em;
|
||||
}
|
||||
|
||||
#module-list li {
|
||||
clear: right;
|
||||
}
|
||||
|
||||
#module-list span.collapser,
|
||||
#module-list span.expander {
|
||||
background-position: 0 0.3em;
|
||||
}
|
||||
|
||||
#module-list .package {
|
||||
float: right;
|
||||
}
|
||||
|
||||
/* @end */
|
||||
|
|
@ -1,942 +0,0 @@
|
|||
-- Hoogle documentation, generated by Haddock
|
||||
-- See Hoogle, http://www.haskell.org/hoogle/
|
||||
|
||||
|
||||
-- | TensorFlow bindings.
|
||||
--
|
||||
-- Please see README.md
|
||||
@package tensorflow
|
||||
@version 0.1.0.0
|
||||
|
||||
|
||||
-- | Originally taken from internal proto-lens code.
|
||||
module TensorFlow.Internal.VarInt
|
||||
|
||||
-- | Decode an unsigned varint.
|
||||
getVarInt :: Parser Word64
|
||||
|
||||
-- | Encode a Word64.
|
||||
putVarInt :: Word64 -> Builder
|
||||
|
||||
module TensorFlow.Internal.FFI
|
||||
data TensorFlowException
|
||||
TensorFlowException :: Code -> Text -> TensorFlowException
|
||||
data Session
|
||||
|
||||
-- | Runs the given action after creating a session with options populated
|
||||
-- by the given optionSetter.
|
||||
withSession :: (SessionOptions -> IO ()) -> ((IO () -> IO ()) -> Session -> IO a) -> IO a
|
||||
extendGraph :: Session -> GraphDef -> IO ()
|
||||
run :: Session -> [(ByteString, TensorData)] -> [ByteString] -> [ByteString] -> IO [TensorData]
|
||||
|
||||
-- | All of the data needed to represent a tensor.
|
||||
data TensorData
|
||||
TensorData :: [Int64] -> !DataType -> !(Vector Word8) -> TensorData
|
||||
[tensorDataDimensions] :: TensorData -> [Int64]
|
||||
[tensorDataType] :: TensorData -> !DataType
|
||||
[tensorDataBytes] :: TensorData -> !(Vector Word8)
|
||||
setSessionConfig :: ConfigProto -> SessionOptions -> IO ()
|
||||
setSessionTarget :: ByteString -> SessionOptions -> IO ()
|
||||
|
||||
-- | Returns the serialized OpList of all OpDefs defined in this address
|
||||
-- space.
|
||||
getAllOpList :: IO ByteString
|
||||
|
||||
-- | Serializes the given msg and provides it as (ptr,len) argument to the
|
||||
-- given action.
|
||||
useProtoAsVoidPtrLen :: (Message msg, Integral c, Show c, Bits c) => msg -> (Ptr b -> c -> IO a) -> IO a
|
||||
instance GHC.Classes.Eq TensorFlow.Internal.FFI.TensorData
|
||||
instance GHC.Show.Show TensorFlow.Internal.FFI.TensorData
|
||||
instance GHC.Classes.Eq TensorFlow.Internal.FFI.TensorFlowException
|
||||
instance GHC.Show.Show TensorFlow.Internal.FFI.TensorFlowException
|
||||
instance GHC.Exception.Exception TensorFlow.Internal.FFI.TensorFlowException
|
||||
|
||||
module TensorFlow.Types
|
||||
|
||||
-- | The class of scalar types supported by tensorflow.
|
||||
class TensorType a
|
||||
tensorType :: TensorType a => a -> DataType
|
||||
tensorRefType :: TensorType a => a -> DataType
|
||||
tensorVal :: TensorType a => Lens' TensorProto [a]
|
||||
|
||||
-- | Tensor data with the correct memory layout for tensorflow.
|
||||
newtype TensorData a
|
||||
TensorData :: TensorData -> TensorData a
|
||||
[unTensorData] :: TensorData a -> TensorData
|
||||
|
||||
-- | Types that can be converted to and from <a>TensorData</a>.
|
||||
--
|
||||
-- <a>Vector</a> is the most efficient to encode/decode for most element
|
||||
-- types.
|
||||
class TensorType a => TensorDataType s a
|
||||
|
||||
-- | Decode the bytes of a <a>TensorData</a> into an <a>s</a>.
|
||||
decodeTensorData :: TensorDataType s a => TensorData a -> s a
|
||||
|
||||
-- | Encode an <a>s</a> into a <a>TensorData</a>.
|
||||
--
|
||||
-- The values should be in row major order, e.g.,
|
||||
--
|
||||
-- element 0: index (0, ..., 0) element 1: index (0, ..., 1) ...
|
||||
encodeTensorData :: TensorDataType s a => Shape -> s a -> TensorData a
|
||||
newtype Scalar a
|
||||
Scalar :: a -> Scalar a
|
||||
[unScalar] :: Scalar a -> a
|
||||
|
||||
-- | Shape (dimensions) of a tensor.
|
||||
newtype Shape
|
||||
Shape :: [Int64] -> Shape
|
||||
protoShape :: Lens' TensorShapeProto Shape
|
||||
class Attribute a
|
||||
attrLens :: Attribute a => Lens' AttrValue a
|
||||
data DataType :: *
|
||||
DT_INVALID :: DataType
|
||||
DT_FLOAT :: DataType
|
||||
DT_DOUBLE :: DataType
|
||||
DT_INT32 :: DataType
|
||||
DT_UINT8 :: DataType
|
||||
DT_INT16 :: DataType
|
||||
DT_INT8 :: DataType
|
||||
DT_STRING :: DataType
|
||||
DT_COMPLEX64 :: DataType
|
||||
DT_INT64 :: DataType
|
||||
DT_BOOL :: DataType
|
||||
DT_QINT8 :: DataType
|
||||
DT_QUINT8 :: DataType
|
||||
DT_QINT32 :: DataType
|
||||
DT_BFLOAT16 :: DataType
|
||||
DT_QINT16 :: DataType
|
||||
DT_QUINT16 :: DataType
|
||||
DT_UINT16 :: DataType
|
||||
DT_COMPLEX128 :: DataType
|
||||
DT_HALF :: DataType
|
||||
DT_RESOURCE :: DataType
|
||||
DT_FLOAT_REF :: DataType
|
||||
DT_DOUBLE_REF :: DataType
|
||||
DT_INT32_REF :: DataType
|
||||
DT_UINT8_REF :: DataType
|
||||
DT_INT16_REF :: DataType
|
||||
DT_INT8_REF :: DataType
|
||||
DT_STRING_REF :: DataType
|
||||
DT_COMPLEX64_REF :: DataType
|
||||
DT_INT64_REF :: DataType
|
||||
DT_BOOL_REF :: DataType
|
||||
DT_QINT8_REF :: DataType
|
||||
DT_QUINT8_REF :: DataType
|
||||
DT_QINT32_REF :: DataType
|
||||
DT_BFLOAT16_REF :: DataType
|
||||
DT_QINT16_REF :: DataType
|
||||
DT_QUINT16_REF :: DataType
|
||||
DT_UINT16_REF :: DataType
|
||||
DT_COMPLEX128_REF :: DataType
|
||||
DT_HALF_REF :: DataType
|
||||
DT_RESOURCE_REF :: DataType
|
||||
|
||||
-- | A heterogeneous list type.
|
||||
data ListOf f as
|
||||
Nil :: ListOf f '[]
|
||||
(:/) :: f a -> ListOf f as -> ListOf f (a : as)
|
||||
type List = ListOf Identity
|
||||
|
||||
-- | Equivalent of <a>:/</a> for lists.
|
||||
(/:/) :: a -> List as -> List (a : as)
|
||||
data TensorTypeProxy a
|
||||
TensorTypeProxy :: TensorTypeProxy a
|
||||
class TensorTypes (ts :: [*])
|
||||
tensorTypes :: TensorTypes ts => TensorTypeList ts
|
||||
type TensorTypeList = ListOf TensorTypeProxy
|
||||
fromTensorTypeList :: TensorTypeList ts -> [DataType]
|
||||
fromTensorTypes :: TensorTypes as => Proxy as -> [DataType]
|
||||
|
||||
-- | A <a>Constraint</a> specifying the possible choices of a
|
||||
-- <a>TensorType</a>.
|
||||
--
|
||||
-- We implement a <a>Constraint</a> like <tt>OneOf '[Double, Float]
|
||||
-- a</tt> by turning the natural representation as a conjunction, i.e.,
|
||||
--
|
||||
-- <pre>
|
||||
-- a == Double || a == Float
|
||||
-- </pre>
|
||||
--
|
||||
-- into a disjunction like
|
||||
--
|
||||
-- <pre>
|
||||
-- a /= Int32 && a /= Int64 && a /= ByteString && ...
|
||||
-- </pre>
|
||||
--
|
||||
-- using an enumeration of all the possible <a>TensorType</a>s.
|
||||
type OneOf ts a = (TensorType a, TensorTypes ts, NoneOf (AllTensorTypes \\ ts) a)
|
||||
|
||||
-- | A constraint checking that two types are different.
|
||||
type OneOfs ts as = (TensorTypes as, TensorTypes ts, NoneOfs (AllTensorTypes \\ ts) as)
|
||||
|
||||
-- | Helper types to produce a reasonable type error message when the
|
||||
-- Constraint "a /= a" fails. TODO(judahjacobson): Use ghc-8's
|
||||
-- CustomTypeErrors for this.
|
||||
data TypeError a
|
||||
data ExcludedCase
|
||||
|
||||
-- | A constraint that the type <tt>a</tt> doesn't appear in the type list
|
||||
-- <tt>ts</tt>. Assumes that <tt>a</tt> and each of the elements of
|
||||
-- <tt>ts</tt> are <a>TensorType</a>s.
|
||||
|
||||
-- | Takes the difference of two lists of types.
|
||||
|
||||
-- | Removes a type from the given list of types.
|
||||
|
||||
-- | An enumeration of all valid <a>TensorType</a>s.
|
||||
type AllTensorTypes = '[Float, Double, Int8, Int16, Int32, Int64, Word8, Word16, ByteString, Bool]
|
||||
instance GHC.Show.Show TensorFlow.Types.Shape
|
||||
instance Data.String.IsString a => Data.String.IsString (TensorFlow.Types.Scalar a)
|
||||
instance GHC.Real.RealFrac a => GHC.Real.RealFrac (TensorFlow.Types.Scalar a)
|
||||
instance GHC.Float.RealFloat a => GHC.Float.RealFloat (TensorFlow.Types.Scalar a)
|
||||
instance GHC.Real.Real a => GHC.Real.Real (TensorFlow.Types.Scalar a)
|
||||
instance GHC.Float.Floating a => GHC.Float.Floating (TensorFlow.Types.Scalar a)
|
||||
instance GHC.Real.Fractional a => GHC.Real.Fractional (TensorFlow.Types.Scalar a)
|
||||
instance GHC.Num.Num a => GHC.Num.Num (TensorFlow.Types.Scalar a)
|
||||
instance GHC.Classes.Ord a => GHC.Classes.Ord (TensorFlow.Types.Scalar a)
|
||||
instance GHC.Classes.Eq a => GHC.Classes.Eq (TensorFlow.Types.Scalar a)
|
||||
instance GHC.Show.Show a => GHC.Show.Show (TensorFlow.Types.Scalar a)
|
||||
instance TensorFlow.Types.TensorType GHC.Types.Float
|
||||
instance TensorFlow.Types.TensorType GHC.Types.Double
|
||||
instance TensorFlow.Types.TensorType GHC.Int.Int32
|
||||
instance TensorFlow.Types.TensorType GHC.Int.Int64
|
||||
instance TensorFlow.Types.TensorType GHC.Word.Word8
|
||||
instance TensorFlow.Types.TensorType GHC.Word.Word16
|
||||
instance TensorFlow.Types.TensorType GHC.Int.Int16
|
||||
instance TensorFlow.Types.TensorType GHC.Int.Int8
|
||||
instance TensorFlow.Types.TensorType Data.ByteString.Internal.ByteString
|
||||
instance TensorFlow.Types.TensorType GHC.Types.Bool
|
||||
instance TensorFlow.Types.TensorType (Data.Complex.Complex GHC.Types.Float)
|
||||
instance TensorFlow.Types.TensorType (Data.Complex.Complex GHC.Types.Double)
|
||||
instance TensorFlow.Types.TensorDataType Data.Vector.Storable.Vector GHC.Types.Float
|
||||
instance TensorFlow.Types.TensorDataType Data.Vector.Storable.Vector GHC.Types.Double
|
||||
instance TensorFlow.Types.TensorDataType Data.Vector.Storable.Vector GHC.Int.Int8
|
||||
instance TensorFlow.Types.TensorDataType Data.Vector.Storable.Vector GHC.Int.Int16
|
||||
instance TensorFlow.Types.TensorDataType Data.Vector.Storable.Vector GHC.Int.Int32
|
||||
instance TensorFlow.Types.TensorDataType Data.Vector.Storable.Vector GHC.Int.Int64
|
||||
instance TensorFlow.Types.TensorDataType Data.Vector.Storable.Vector GHC.Word.Word8
|
||||
instance TensorFlow.Types.TensorDataType Data.Vector.Storable.Vector GHC.Word.Word16
|
||||
instance TensorFlow.Types.TensorDataType Data.Vector.Storable.Vector GHC.Types.Bool
|
||||
instance (Foreign.Storable.Storable a, TensorFlow.Types.TensorDataType Data.Vector.Storable.Vector a) => TensorFlow.Types.TensorDataType Data.Vector.Vector a
|
||||
instance TensorFlow.Types.TensorDataType Data.Vector.Vector (Data.Complex.Complex GHC.Types.Float)
|
||||
instance TensorFlow.Types.TensorDataType Data.Vector.Vector (Data.Complex.Complex GHC.Types.Double)
|
||||
instance TensorFlow.Types.TensorDataType Data.Vector.Vector Data.ByteString.Internal.ByteString
|
||||
instance TensorFlow.Types.TensorDataType Data.Vector.Vector a => TensorFlow.Types.TensorDataType TensorFlow.Types.Scalar a
|
||||
instance GHC.Exts.IsList TensorFlow.Types.Shape
|
||||
instance TensorFlow.Types.Attribute GHC.Types.Float
|
||||
instance TensorFlow.Types.Attribute Data.ByteString.Internal.ByteString
|
||||
instance TensorFlow.Types.Attribute GHC.Int.Int64
|
||||
instance TensorFlow.Types.Attribute Proto.Tensorflow.Core.Framework.Types.DataType
|
||||
instance TensorFlow.Types.Attribute Proto.Tensorflow.Core.Framework.Tensor.TensorProto
|
||||
instance TensorFlow.Types.Attribute GHC.Types.Bool
|
||||
instance TensorFlow.Types.Attribute TensorFlow.Types.Shape
|
||||
instance TensorFlow.Types.Attribute Proto.Tensorflow.Core.Framework.AttrValue.AttrValue'ListValue
|
||||
instance TensorFlow.Types.Attribute [Proto.Tensorflow.Core.Framework.Types.DataType]
|
||||
instance TensorFlow.Types.Attribute [GHC.Int.Int64]
|
||||
instance TensorFlow.Types.All GHC.Classes.Eq (TensorFlow.Types.Map f as) => GHC.Classes.Eq (TensorFlow.Types.ListOf f as)
|
||||
instance TensorFlow.Types.All GHC.Show.Show (TensorFlow.Types.Map f as) => GHC.Show.Show (TensorFlow.Types.ListOf f as)
|
||||
instance TensorFlow.Types.TensorTypes '[]
|
||||
instance (TensorFlow.Types.TensorType t, TensorFlow.Types.TensorTypes ts) => TensorFlow.Types.TensorTypes (t : ts)
|
||||
|
||||
module TensorFlow.Output
|
||||
|
||||
-- | A type of graph node which has no outputs. These nodes are valuable
|
||||
-- for causing side effects when they are run.
|
||||
newtype ControlNode
|
||||
ControlNode :: NodeName -> ControlNode
|
||||
[unControlNode] :: ControlNode -> NodeName
|
||||
|
||||
-- | A device that a node can be assigned to. There's a naming convention
|
||||
-- where the device names are constructed from job and replica names.
|
||||
newtype Device
|
||||
Device :: Text -> Device
|
||||
[deviceName] :: Device -> Text
|
||||
|
||||
-- | The name of a node in the graph. This corresponds to the proto field
|
||||
-- NodeDef.name. Includes the scope prefix (if any) and a unique
|
||||
-- identifier (if the node was implicitly named).
|
||||
newtype NodeName
|
||||
NodeName :: Text -> NodeName
|
||||
[unNodeName] :: NodeName -> Text
|
||||
|
||||
-- | Op definition. This corresponds somewhat to the <tt>NodeDef</tt>
|
||||
-- proto.
|
||||
data OpDef
|
||||
OpDef :: !PendingNodeName -> !OpType -> !(Map Text AttrValue) -> [Output] -> [NodeName] -> OpDef
|
||||
[_opName] :: OpDef -> !PendingNodeName
|
||||
[_opType] :: OpDef -> !OpType
|
||||
[_opAttrs] :: OpDef -> !(Map Text AttrValue)
|
||||
[_opInputs] :: OpDef -> [Output]
|
||||
[_opControlInputs] :: OpDef -> [NodeName]
|
||||
opName :: Lens' OpDef PendingNodeName
|
||||
opType :: Lens' OpDef OpType
|
||||
opAttr :: Attribute a => Text -> Lens' OpDef a
|
||||
opInputs :: Lens' OpDef [Output]
|
||||
opControlInputs :: Lens' OpDef [NodeName]
|
||||
|
||||
-- | The type of op of a node in the graph. This corresponds to the proto
|
||||
-- field NodeDef.op.
|
||||
newtype OpType
|
||||
OpType :: Text -> OpType
|
||||
[unOpType] :: OpType -> Text
|
||||
newtype OutputIx
|
||||
OutputIx :: Int -> OutputIx
|
||||
[unOutputIx] :: OutputIx -> Int
|
||||
|
||||
-- | An output of a TensorFlow node.
|
||||
data Output
|
||||
Output :: !OutputIx -> !NodeName -> Output
|
||||
[outputIndex] :: Output -> !OutputIx
|
||||
[outputNodeName] :: Output -> !NodeName
|
||||
output :: OutputIx -> NodeName -> Output
|
||||
|
||||
-- | The name specified for an unrendered Op. If an Op has an ImplicitName,
|
||||
-- it will be assigned based on the opType plus a unique identifier. Does
|
||||
-- not contain the "scope" prefix.
|
||||
data PendingNodeName
|
||||
ExplicitName :: !Text -> PendingNodeName
|
||||
ImplicitName :: PendingNodeName
|
||||
|
||||
-- | Opaque handle to a mutable resource in the graph. Typical such
|
||||
-- resources are variables.
|
||||
newtype ResourceHandle
|
||||
ResourceHandle :: Output -> ResourceHandle
|
||||
instance GHC.Classes.Ord TensorFlow.Output.OpDef
|
||||
instance GHC.Classes.Eq TensorFlow.Output.OpDef
|
||||
instance GHC.Show.Show TensorFlow.Output.Output
|
||||
instance GHC.Classes.Ord TensorFlow.Output.Output
|
||||
instance GHC.Classes.Eq TensorFlow.Output.Output
|
||||
instance GHC.Show.Show TensorFlow.Output.NodeName
|
||||
instance GHC.Classes.Ord TensorFlow.Output.NodeName
|
||||
instance GHC.Classes.Eq TensorFlow.Output.NodeName
|
||||
instance GHC.Show.Show TensorFlow.Output.PendingNodeName
|
||||
instance GHC.Classes.Ord TensorFlow.Output.PendingNodeName
|
||||
instance GHC.Classes.Eq TensorFlow.Output.PendingNodeName
|
||||
instance Data.String.IsString TensorFlow.Output.Device
|
||||
instance GHC.Classes.Ord TensorFlow.Output.Device
|
||||
instance GHC.Classes.Eq TensorFlow.Output.Device
|
||||
instance GHC.Show.Show TensorFlow.Output.OutputIx
|
||||
instance GHC.Enum.Enum TensorFlow.Output.OutputIx
|
||||
instance GHC.Num.Num TensorFlow.Output.OutputIx
|
||||
instance GHC.Classes.Ord TensorFlow.Output.OutputIx
|
||||
instance GHC.Classes.Eq TensorFlow.Output.OutputIx
|
||||
instance GHC.Show.Show TensorFlow.Output.OpType
|
||||
instance GHC.Classes.Ord TensorFlow.Output.OpType
|
||||
instance GHC.Classes.Eq TensorFlow.Output.OpType
|
||||
instance Data.String.IsString TensorFlow.Output.OpType
|
||||
instance GHC.Show.Show TensorFlow.Output.Device
|
||||
instance Data.String.IsString TensorFlow.Output.PendingNodeName
|
||||
instance Data.String.IsString TensorFlow.Output.Output
|
||||
|
||||
module TensorFlow.Build
|
||||
|
||||
-- | A type of graph node which has no outputs. These nodes are valuable
|
||||
-- for causing side effects when they are run.
|
||||
newtype ControlNode
|
||||
ControlNode :: NodeName -> ControlNode
|
||||
[unControlNode] :: ControlNode -> NodeName
|
||||
data Unique
|
||||
explicitName :: Text -> PendingNodeName
|
||||
implicitName :: PendingNodeName
|
||||
opDef :: OpType -> OpDef
|
||||
opDefWithName :: PendingNodeName -> OpType -> OpDef
|
||||
opName :: Lens' OpDef PendingNodeName
|
||||
opType :: Lens' OpDef OpType
|
||||
opAttr :: Attribute a => Text -> Lens' OpDef a
|
||||
opInputs :: Lens' OpDef [Output]
|
||||
opControlInputs :: Lens' OpDef [NodeName]
|
||||
data GraphState
|
||||
renderedNodeDefs :: Lens' GraphState (Map NodeName NodeDef)
|
||||
|
||||
-- | An action for building nodes in a TensorFlow graph. Used to manage
|
||||
-- build state internally as part of the <tt>Session</tt> monad.
|
||||
data BuildT m a
|
||||
|
||||
-- | An action for building nodes in a TensorFlow graph.
|
||||
type Build = BuildT Identity
|
||||
|
||||
-- | Lift a <a>Build</a> action into a monad, including any explicit op
|
||||
-- renderings.
|
||||
class Monad m => MonadBuild m
|
||||
build :: MonadBuild m => Build a -> m a
|
||||
|
||||
-- | Registers the given node to be executed before the next <a>run</a>.
|
||||
addInitializer :: MonadBuild m => ControlNode -> m ()
|
||||
|
||||
-- | This is Control.Monad.Morph.hoist sans the dependency.
|
||||
hoistBuildT :: (forall a. m a -> n a) -> BuildT m b -> BuildT n b
|
||||
evalBuildT :: Monad m => BuildT m a -> m a
|
||||
runBuildT :: BuildT m a -> m (a, GraphState)
|
||||
|
||||
-- | Produce a GraphDef proto representation of the nodes that are rendered
|
||||
-- in the given <a>Build</a> action.
|
||||
asGraphDef :: Build a -> GraphDef
|
||||
addGraphDef :: MonadBuild m => GraphDef -> m ()
|
||||
|
||||
-- | Get all the initializers that have accumulated so far, and clear that
|
||||
-- buffer.
|
||||
flushInitializers :: Monad m => BuildT m [NodeName]
|
||||
|
||||
-- | Get all the NodeDefs that have accumulated so far, and clear that
|
||||
-- buffer.
|
||||
flushNodeBuffer :: MonadBuild m => m [NodeDef]
|
||||
summaries :: Lens' GraphState [Output]
|
||||
|
||||
-- | Render the given op if it hasn't been rendered already, and return its
|
||||
-- name.
|
||||
getOrAddOp :: OpDef -> Build NodeName
|
||||
|
||||
-- | Add a new node for a given <a>OpDef</a>. This is used for making
|
||||
-- "stateful" ops which are not safe to dedup (e.g, "variable" and
|
||||
-- "assign").
|
||||
addNewOp :: OpDef -> Build NodeName
|
||||
|
||||
-- | Turn an <a>Output</a> into a string representation for the TensorFlow
|
||||
-- foreign APIs.
|
||||
encodeOutput :: Output -> Text
|
||||
lookupNode :: NodeName -> Build NodeDef
|
||||
|
||||
-- | Modify some part of the state, run an action, and restore the state
|
||||
-- after that action is done.
|
||||
withStateLens :: MonadBuild m => Lens' GraphState a -> (a -> a) -> m b -> m b
|
||||
|
||||
-- | Set a device for all nodes rendered in the given <a>Build</a> action
|
||||
-- (unless further overridden by another use of withDevice).
|
||||
withDevice :: MonadBuild m => Maybe Device -> m a -> m a
|
||||
|
||||
-- | Prepend a scope to all nodes rendered in the given <a>Build</a>
|
||||
-- action.
|
||||
withNameScope :: MonadBuild m => Text -> m a -> m a
|
||||
|
||||
-- | Add control inputs to all nodes rendered in the given <a>Build</a>
|
||||
-- action.
|
||||
withNodeDependencies :: MonadBuild m => Set NodeName -> m a -> m a
|
||||
instance Control.Monad.Catch.MonadMask m => Control.Monad.Catch.MonadMask (TensorFlow.Build.BuildT m)
|
||||
instance Control.Monad.Catch.MonadCatch m => Control.Monad.Catch.MonadCatch (TensorFlow.Build.BuildT m)
|
||||
instance Control.Monad.Catch.MonadThrow m => Control.Monad.Catch.MonadThrow (TensorFlow.Build.BuildT m)
|
||||
instance GHC.Base.Monad m => Control.Monad.State.Class.MonadState TensorFlow.Build.GraphState (TensorFlow.Build.BuildT m)
|
||||
instance Control.Monad.Trans.Class.MonadTrans TensorFlow.Build.BuildT
|
||||
instance Control.Monad.IO.Class.MonadIO m => Control.Monad.IO.Class.MonadIO (TensorFlow.Build.BuildT m)
|
||||
instance GHC.Base.Monad m => GHC.Base.Monad (TensorFlow.Build.BuildT m)
|
||||
instance GHC.Base.Monad m => GHC.Base.Applicative (TensorFlow.Build.BuildT m)
|
||||
instance GHC.Base.Functor m => GHC.Base.Functor (TensorFlow.Build.BuildT m)
|
||||
instance GHC.Classes.Ord TensorFlow.Build.PendingNode
|
||||
instance GHC.Classes.Eq TensorFlow.Build.PendingNode
|
||||
instance Data.String.IsString TensorFlow.Build.Scope
|
||||
instance GHC.Classes.Ord TensorFlow.Build.Scope
|
||||
instance GHC.Classes.Eq TensorFlow.Build.Scope
|
||||
instance GHC.Enum.Enum TensorFlow.Build.Unique
|
||||
instance GHC.Classes.Ord TensorFlow.Build.Unique
|
||||
instance GHC.Classes.Eq TensorFlow.Build.Unique
|
||||
instance GHC.Show.Show TensorFlow.Build.Scope
|
||||
instance GHC.Base.Monad m => TensorFlow.Build.MonadBuild (TensorFlow.Build.BuildT m)
|
||||
|
||||
module TensorFlow.Tensor
|
||||
|
||||
-- | A named output of a TensorFlow operation.
|
||||
--
|
||||
-- The type parameter <tt>a</tt> is the type of the elements in the
|
||||
-- <a>Tensor</a>. The parameter <tt>v</tt> is either:
|
||||
--
|
||||
-- <ul>
|
||||
-- <li><a>Build</a>: An unrendered, immutable value.</li>
|
||||
-- <li><a>Value</a>: A rendered, immutable value.</li>
|
||||
-- <li><a>Ref</a>: A rendered stateful handle (e.g., a variable).</li>
|
||||
-- </ul>
|
||||
--
|
||||
-- Note that <a>expr</a>, <a>value</a>, <a>render</a> and
|
||||
-- <a>renderValue</a> can help convert between the different types of
|
||||
-- <a>Tensor</a>.
|
||||
data Tensor v a
|
||||
Tensor :: v Output -> Tensor v a
|
||||
[tensorOutput] :: Tensor v a -> v Output
|
||||
newtype Value a
|
||||
Value :: a -> Value a
|
||||
[runValue] :: Value a -> a
|
||||
newtype Ref a
|
||||
Ref :: a -> Ref a
|
||||
[runRef] :: Ref a -> a
|
||||
|
||||
-- | Cast a 'Tensor Ref' into a 'Tensor Value'. This behaves like a no-op.
|
||||
value :: Tensor Ref a -> Tensor Value a
|
||||
renderValue :: MonadBuild m => Tensor v a -> m (Tensor Value a)
|
||||
|
||||
-- | A pair of a <a>Tensor</a> and some data that should be fed into that
|
||||
-- <a>Tensor</a> when running the graph.
|
||||
data Feed
|
||||
Feed :: Output -> TensorData -> Feed
|
||||
|
||||
-- | A class ensuring that a given tensor is rendered, i.e., has a fixed
|
||||
-- name, device, etc.
|
||||
class TensorKind v => Rendered v
|
||||
rendered :: Rendered v => v a -> a
|
||||
renderedOutput :: Rendered v => Tensor v a -> Output
|
||||
tensorNodeName :: Rendered v => Tensor v a -> NodeName
|
||||
|
||||
-- | Create a <a>Feed</a> for feeding the given data into a <a>Tensor</a>
|
||||
-- when running the graph.
|
||||
--
|
||||
-- Note that if a <a>Tensor</a> is rendered, its identity may change; so
|
||||
-- feeding the rendered <a>Tensor</a> may be different than feeding the
|
||||
-- original <a>Tensor</a>.
|
||||
feed :: Rendered v => Tensor v a -> TensorData a -> Feed
|
||||
|
||||
-- | Create a <a>Tensor</a> for a given name. This can be used to reference
|
||||
-- nodes in a <tt>GraphDef</tt> that was loaded via <a>addGraphDef</a>.
|
||||
-- TODO(judahjacobson): add more safety checks here.
|
||||
tensorFromName :: TensorKind v => Text -> Tensor v a
|
||||
|
||||
-- | Like <a>tensorFromName</a>, but type-restricted to <a>Value</a>.
|
||||
tensorValueFromName :: Text -> Tensor Value a
|
||||
|
||||
-- | Like <a>tensorFromName</a>, but type-restricted to <a>Ref</a>.
|
||||
tensorRefFromName :: Text -> Tensor Ref a
|
||||
type TensorList v = ListOf (Tensor v)
|
||||
tensorListOutputs :: Rendered v => TensorList v as -> [Output]
|
||||
|
||||
-- | Places all nodes rendered in the given <a>Build</a> action on the same
|
||||
-- device as the given Tensor (see also <a>withDevice</a>). Make sure
|
||||
-- that the action has side effects of rendering the desired tensors. A
|
||||
-- pure return would not have the desired effect.
|
||||
colocateWith :: (MonadBuild m, Rendered v) => Tensor v b -> m a -> m a
|
||||
|
||||
-- | Render a <a>Tensor</a>, fixing its name, scope, device and control
|
||||
-- inputs from the <a>MonadBuild</a> context. Also renders any
|
||||
-- dependencies of the <a>Tensor</a> that weren't already rendered.
|
||||
--
|
||||
-- This operation is idempotent; calling <a>render</a> on the same input
|
||||
-- in the same context will produce the same result. However, rendering
|
||||
-- the same <tt>Tensor Build</tt> in two different contexts may result in
|
||||
-- two different <tt>Tensor Value</tt>s.
|
||||
render :: MonadBuild m => Tensor Build a -> m (Tensor Value a)
|
||||
expr :: TensorKind v => Tensor v a -> Tensor Build a
|
||||
|
||||
-- | Records the given summary action in Build for retrieval with Summary
|
||||
-- protocol buffer in string form. For safety, use the pre-composed
|
||||
-- functions: Logging.scalarSummary and Logging.histogramSummary.
|
||||
addSummary :: (MonadBuild m, TensorKind v) => Tensor v ByteString -> m ()
|
||||
|
||||
-- | Retrieves the summary ops collected thus far. Typically this only
|
||||
-- happens once, but if <a>buildWithSummary</a> is used repeatedly, the
|
||||
-- values accumulate.
|
||||
collectAllSummaries :: MonadBuild m => m [SummaryTensor]
|
||||
|
||||
-- | Synonym for the tensors that return serialized Summary proto.
|
||||
type SummaryTensor = Tensor Value ByteString
|
||||
|
||||
-- | An internal class for kinds of Tensors.
|
||||
class Monad v => TensorKind v
|
||||
toBuild :: TensorKind v => v a -> Build a
|
||||
instance GHC.Base.Functor TensorFlow.Tensor.Ref
|
||||
instance GHC.Base.Functor TensorFlow.Tensor.Value
|
||||
instance GHC.Base.Applicative TensorFlow.Tensor.Value
|
||||
instance GHC.Base.Monad TensorFlow.Tensor.Value
|
||||
instance GHC.Base.Applicative TensorFlow.Tensor.Ref
|
||||
instance GHC.Base.Monad TensorFlow.Tensor.Ref
|
||||
instance TensorFlow.Tensor.Rendered TensorFlow.Tensor.Value
|
||||
instance TensorFlow.Tensor.Rendered TensorFlow.Tensor.Ref
|
||||
instance TensorFlow.Tensor.TensorKind TensorFlow.Tensor.Value
|
||||
instance TensorFlow.Tensor.TensorKind TensorFlow.Tensor.Ref
|
||||
instance TensorFlow.Tensor.TensorKind TensorFlow.Build.Build
|
||||
|
||||
module TensorFlow.BuildOp
|
||||
|
||||
-- | Class of types that can be used as op outputs.
|
||||
class BuildResult a
|
||||
buildResult :: BuildResult a => Result a
|
||||
buildOp :: BuildResult a => [Int64] -> OpDef -> Build a
|
||||
|
||||
-- | Class of types that can be used as op outputs.
|
||||
class PureResult a
|
||||
pureResult :: PureResult a => ReaderT (Build OpDef) (State ResultState) a
|
||||
pureOp :: PureResult a => [Int64] -> Build OpDef -> a
|
||||
|
||||
-- | Returns true if all the integers in each tuple are identical. Throws
|
||||
-- an error with a descriptive message if not.
|
||||
eqLengthGuard :: [(String, [(String, Int)])] -> Bool
|
||||
class BuildInputs a
|
||||
buildInputs :: BuildInputs a => a -> Build [Output]
|
||||
|
||||
-- | Parameters to build an op (for example, the node name or optional
|
||||
-- attributes). TODO: be more type safe.
|
||||
type OpParams = OpDef -> OpDef
|
||||
instance GHC.Show.Show TensorFlow.BuildOp.ResultState
|
||||
instance (TensorFlow.BuildOp.BuildResult a1, TensorFlow.BuildOp.BuildResult a2) => TensorFlow.BuildOp.BuildResult (a1, a2)
|
||||
instance (TensorFlow.BuildOp.BuildResult a1, TensorFlow.BuildOp.BuildResult a2, TensorFlow.BuildOp.BuildResult a3) => TensorFlow.BuildOp.BuildResult (a1, a2, a3)
|
||||
instance (TensorFlow.BuildOp.BuildResult a1, TensorFlow.BuildOp.BuildResult a2, TensorFlow.BuildOp.BuildResult a3, TensorFlow.BuildOp.BuildResult a4) => TensorFlow.BuildOp.BuildResult (a1, a2, a3, a4)
|
||||
instance (TensorFlow.BuildOp.BuildResult a1, TensorFlow.BuildOp.BuildResult a2, TensorFlow.BuildOp.BuildResult a3, TensorFlow.BuildOp.BuildResult a4, TensorFlow.BuildOp.BuildResult a5) => TensorFlow.BuildOp.BuildResult (a1, a2, a3, a4, a5)
|
||||
instance (TensorFlow.BuildOp.BuildResult a1, TensorFlow.BuildOp.BuildResult a2, TensorFlow.BuildOp.BuildResult a3, TensorFlow.BuildOp.BuildResult a4, TensorFlow.BuildOp.BuildResult a5, TensorFlow.BuildOp.BuildResult a6) => TensorFlow.BuildOp.BuildResult (a1, a2, a3, a4, a5, a6)
|
||||
instance (TensorFlow.BuildOp.BuildResult a1, TensorFlow.BuildOp.BuildResult a2, TensorFlow.BuildOp.BuildResult a3, TensorFlow.BuildOp.BuildResult a4, TensorFlow.BuildOp.BuildResult a5, TensorFlow.BuildOp.BuildResult a6, TensorFlow.BuildOp.BuildResult a7) => TensorFlow.BuildOp.BuildResult (a1, a2, a3, a4, a5, a6, a7)
|
||||
instance (TensorFlow.BuildOp.BuildResult a1, TensorFlow.BuildOp.BuildResult a2, TensorFlow.BuildOp.BuildResult a3, TensorFlow.BuildOp.BuildResult a4, TensorFlow.BuildOp.BuildResult a5, TensorFlow.BuildOp.BuildResult a6, TensorFlow.BuildOp.BuildResult a7, TensorFlow.BuildOp.BuildResult a8) => TensorFlow.BuildOp.BuildResult (a1, a2, a3, a4, a5, a6, a7, a8)
|
||||
instance TensorFlow.BuildOp.BuildResult TensorFlow.Output.ResourceHandle
|
||||
instance TensorFlow.Tensor.Rendered v => TensorFlow.BuildOp.BuildResult (TensorFlow.Tensor.Tensor v a)
|
||||
instance TensorFlow.BuildOp.BuildResult TensorFlow.Output.ControlNode
|
||||
instance (TensorFlow.Tensor.Rendered v, TensorFlow.Types.TensorTypes as) => TensorFlow.BuildOp.BuildResult (TensorFlow.Tensor.TensorList v as)
|
||||
instance TensorFlow.BuildOp.BuildResult a => TensorFlow.BuildOp.BuildResult [a]
|
||||
instance TensorFlow.BuildOp.PureResult (TensorFlow.Tensor.Tensor TensorFlow.Build.Build a)
|
||||
instance (TensorFlow.BuildOp.PureResult a1, TensorFlow.BuildOp.PureResult a2) => TensorFlow.BuildOp.PureResult (a1, a2)
|
||||
instance (TensorFlow.BuildOp.PureResult a1, TensorFlow.BuildOp.PureResult a2, TensorFlow.BuildOp.PureResult a3) => TensorFlow.BuildOp.PureResult (a1, a2, a3)
|
||||
instance (TensorFlow.BuildOp.PureResult a1, TensorFlow.BuildOp.PureResult a2, TensorFlow.BuildOp.PureResult a3, TensorFlow.BuildOp.PureResult a4) => TensorFlow.BuildOp.PureResult (a1, a2, a3, a4)
|
||||
instance (TensorFlow.BuildOp.PureResult a1, TensorFlow.BuildOp.PureResult a2, TensorFlow.BuildOp.PureResult a3, TensorFlow.BuildOp.PureResult a4, TensorFlow.BuildOp.PureResult a5) => TensorFlow.BuildOp.PureResult (a1, a2, a3, a4, a5)
|
||||
instance (TensorFlow.BuildOp.PureResult a1, TensorFlow.BuildOp.PureResult a2, TensorFlow.BuildOp.PureResult a3, TensorFlow.BuildOp.PureResult a4, TensorFlow.BuildOp.PureResult a5, TensorFlow.BuildOp.PureResult a6) => TensorFlow.BuildOp.PureResult (a1, a2, a3, a4, a5, a6)
|
||||
instance (TensorFlow.BuildOp.PureResult a1, TensorFlow.BuildOp.PureResult a2, TensorFlow.BuildOp.PureResult a3, TensorFlow.BuildOp.PureResult a4, TensorFlow.BuildOp.PureResult a5, TensorFlow.BuildOp.PureResult a6, TensorFlow.BuildOp.PureResult a7) => TensorFlow.BuildOp.PureResult (a1, a2, a3, a4, a5, a6, a7)
|
||||
instance (TensorFlow.BuildOp.PureResult a1, TensorFlow.BuildOp.PureResult a2, TensorFlow.BuildOp.PureResult a3, TensorFlow.BuildOp.PureResult a4, TensorFlow.BuildOp.PureResult a5, TensorFlow.BuildOp.PureResult a6, TensorFlow.BuildOp.PureResult a7, TensorFlow.BuildOp.PureResult a8) => TensorFlow.BuildOp.PureResult (a1, a2, a3, a4, a5, a6, a7, a8)
|
||||
instance TensorFlow.BuildOp.PureResult a => TensorFlow.BuildOp.PureResult [a]
|
||||
instance TensorFlow.Types.TensorTypes as => TensorFlow.BuildOp.PureResult (TensorFlow.Tensor.TensorList TensorFlow.Build.Build as)
|
||||
instance TensorFlow.BuildOp.BuildInputs a => TensorFlow.BuildOp.BuildInputs [a]
|
||||
instance TensorFlow.BuildOp.BuildInputs (TensorFlow.Tensor.Tensor v a)
|
||||
instance TensorFlow.BuildOp.BuildInputs (TensorFlow.Types.ListOf (TensorFlow.Tensor.Tensor v) as)
|
||||
instance TensorFlow.BuildOp.BuildInputs TensorFlow.Output.ResourceHandle
|
||||
|
||||
module TensorFlow.Nodes
|
||||
|
||||
-- | Types that contain ops which can be run.
|
||||
class Nodes t
|
||||
getNodes :: Nodes t => t -> Build (Set NodeName)
|
||||
|
||||
-- | Types that tensor representations (e.g. <a>Tensor</a>,
|
||||
-- <a>ControlNode</a>) can be fetched into.
|
||||
--
|
||||
-- Includes collections of tensors (e.g. tuples).
|
||||
class Nodes t => Fetchable t a
|
||||
getFetch :: Fetchable t a => t -> Build (Fetch a)
|
||||
|
||||
-- | Fetch action. Keeps track of what needs to be fetched and how to
|
||||
-- decode the fetched data.
|
||||
data Fetch a
|
||||
Fetch :: Set Text -> (Map Text TensorData -> a) -> Fetch a
|
||||
|
||||
-- | Nodes to fetch
|
||||
[fetches] :: Fetch a -> Set Text
|
||||
|
||||
-- | Function to create an <tt>a</tt> from the fetched data.
|
||||
[fetchRestore] :: Fetch a -> Map Text TensorData -> a
|
||||
nodesUnion :: (Monoid b, Traversable t, Applicative f) => t (f b) -> f b
|
||||
fetchTensorVector :: (TensorType a) => Tensor v a -> Build (Fetch (TensorData a))
|
||||
instance GHC.Base.Functor TensorFlow.Nodes.Fetch
|
||||
instance GHC.Base.Applicative TensorFlow.Nodes.Fetch
|
||||
instance (TensorFlow.Nodes.Nodes t1, TensorFlow.Nodes.Nodes t2) => TensorFlow.Nodes.Nodes (t1, t2)
|
||||
instance (TensorFlow.Nodes.Nodes t1, TensorFlow.Nodes.Nodes t2, TensorFlow.Nodes.Nodes t3) => TensorFlow.Nodes.Nodes (t1, t2, t3)
|
||||
instance (TensorFlow.Nodes.Fetchable t1 a1, TensorFlow.Nodes.Fetchable t2 a2) => TensorFlow.Nodes.Fetchable (t1, t2) (a1, a2)
|
||||
instance (TensorFlow.Nodes.Fetchable t1 a1, TensorFlow.Nodes.Fetchable t2 a2, TensorFlow.Nodes.Fetchable t3 a3) => TensorFlow.Nodes.Fetchable (t1, t2, t3) (a1, a2, a3)
|
||||
instance TensorFlow.Nodes.Nodes t => TensorFlow.Nodes.Nodes [t]
|
||||
instance TensorFlow.Nodes.Fetchable t a => TensorFlow.Nodes.Fetchable [t] [a]
|
||||
instance TensorFlow.Nodes.Nodes TensorFlow.Output.ControlNode
|
||||
instance (a ~ ()) => TensorFlow.Nodes.Fetchable TensorFlow.Output.ControlNode a
|
||||
instance TensorFlow.Nodes.Nodes (TensorFlow.Types.ListOf f '[])
|
||||
instance (TensorFlow.Nodes.Nodes (f a), TensorFlow.Nodes.Nodes (TensorFlow.Types.ListOf f as)) => TensorFlow.Nodes.Nodes (TensorFlow.Types.ListOf f (a : as))
|
||||
instance (l ~ TensorFlow.Types.List '[]) => TensorFlow.Nodes.Fetchable (TensorFlow.Types.ListOf f '[]) l
|
||||
instance (TensorFlow.Nodes.Fetchable (f t) a, TensorFlow.Nodes.Fetchable (TensorFlow.Types.ListOf f ts) (TensorFlow.Types.List as), i ~ Data.Functor.Identity.Identity) => TensorFlow.Nodes.Fetchable (TensorFlow.Types.ListOf f (t : ts)) (TensorFlow.Types.ListOf i (a : as))
|
||||
instance TensorFlow.Nodes.Nodes (TensorFlow.Tensor.Tensor v a)
|
||||
instance (TensorFlow.Types.TensorType a, a ~ a') => TensorFlow.Nodes.Fetchable (TensorFlow.Tensor.Tensor v a) (TensorFlow.Types.TensorData a')
|
||||
instance (TensorFlow.Types.TensorType a, TensorFlow.Types.TensorDataType s a, a ~ a') => TensorFlow.Nodes.Fetchable (TensorFlow.Tensor.Tensor v a) (s a')
|
||||
|
||||
module TensorFlow.ControlFlow
|
||||
|
||||
-- | Modify a <a>Build</a> action, such that all new ops rendered in it
|
||||
-- will depend on the nodes in the first argument.
|
||||
withControlDependencies :: (MonadBuild m, Nodes t) => t -> m a -> m a
|
||||
|
||||
-- | Create an op that groups multiple operations.
|
||||
--
|
||||
-- When this op finishes, all ops in the input <tt>n</tt> have finished.
|
||||
-- This op has no output.
|
||||
group :: (MonadBuild m, Nodes t) => t -> m ControlNode
|
||||
|
||||
-- | Does nothing. Only useful as a placeholder for control edges.
|
||||
noOp :: MonadBuild m => m ControlNode
|
||||
|
||||
module TensorFlow.Session
|
||||
data Session a
|
||||
|
||||
-- | Customization for session. Use the lenses to update:
|
||||
-- <a>sessionTarget</a>, <a>sessionTracer</a>, <a>sessionConfig</a>.
|
||||
data Options
|
||||
|
||||
-- | Uses the specified config for the created session.
|
||||
sessionConfig :: Lens' Options ConfigProto
|
||||
|
||||
-- | Target can be: "local", ip:port, host:port. The set of supported
|
||||
-- factories depends on the linked in libraries.
|
||||
sessionTarget :: Lens' Options ByteString
|
||||
|
||||
-- | Uses the given logger to monitor session progress.
|
||||
sessionTracer :: Lens' Options Tracer
|
||||
|
||||
-- | Run <a>Session</a> actions in a new TensorFlow session.
|
||||
runSession :: Session a -> IO a
|
||||
|
||||
-- | Run <a>Session</a> actions in a new TensorFlow session created with
|
||||
-- the given option setter actions (<a>sessionTarget</a>,
|
||||
-- <a>sessionConfig</a>).
|
||||
runSessionWithOptions :: Options -> Session a -> IO a
|
||||
|
||||
-- | Lift a <a>Build</a> action into a monad, including any explicit op
|
||||
-- renderings.
|
||||
class Monad m => MonadBuild m
|
||||
build :: MonadBuild m => Build a -> m a
|
||||
|
||||
-- | 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.
|
||||
extend :: Session ()
|
||||
addGraphDef :: MonadBuild m => GraphDef -> m ()
|
||||
|
||||
-- | Run a subgraph <tt>t</tt>, rendering any dependent nodes that aren't
|
||||
-- already rendered, and fetch the corresponding values for <tt>a</tt>.
|
||||
run :: Fetchable t a => t -> Session a
|
||||
|
||||
-- | Run a subgraph <tt>t</tt>, rendering any dependent nodes that aren't
|
||||
-- already rendered, feed the given input values, and fetch the
|
||||
-- corresponding result values for <tt>a</tt>.
|
||||
runWithFeeds :: Fetchable t a => [Feed] -> t -> Session a
|
||||
|
||||
-- | Run a subgraph <tt>t</tt>, rendering and extending any dependent nodes
|
||||
-- that aren't already rendered. This behaves like <a>run</a> except that
|
||||
-- it doesn't do any fetches.
|
||||
run_ :: Nodes t => t -> Session ()
|
||||
|
||||
-- | Run a subgraph <tt>t</tt>, rendering any dependent nodes that aren't
|
||||
-- already rendered, feed the given input values, and fetch the
|
||||
-- corresponding result values for <tt>a</tt>. This behaves like
|
||||
-- <a>runWithFeeds</a> except that it doesn't do any fetches.
|
||||
runWithFeeds_ :: Nodes t => [Feed] -> t -> 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.
|
||||
asyncProdNodes :: Nodes t => t -> Session ()
|
||||
instance Control.Monad.Catch.MonadMask TensorFlow.Session.Session
|
||||
instance Control.Monad.Catch.MonadCatch TensorFlow.Session.Session
|
||||
instance Control.Monad.Catch.MonadThrow TensorFlow.Session.Session
|
||||
instance Control.Monad.IO.Class.MonadIO TensorFlow.Session.Session
|
||||
instance GHC.Base.Monad TensorFlow.Session.Session
|
||||
instance GHC.Base.Applicative TensorFlow.Session.Session
|
||||
instance GHC.Base.Functor TensorFlow.Session.Session
|
||||
instance Data.Default.Class.Default TensorFlow.Session.Options
|
||||
instance TensorFlow.Build.MonadBuild TensorFlow.Session.Session
|
||||
|
||||
|
||||
-- | The core functionality of TensorFlow.
|
||||
--
|
||||
-- Unless you are defining ops, you do not need to import other modules
|
||||
-- from this package.
|
||||
--
|
||||
-- Basic ops are provided in the tensorflow-ops and tensorflow-core-ops
|
||||
-- packages.
|
||||
module TensorFlow.Core
|
||||
data Session a
|
||||
|
||||
-- | Customization for session. Use the lenses to update:
|
||||
-- <a>sessionTarget</a>, <a>sessionTracer</a>, <a>sessionConfig</a>.
|
||||
data Options
|
||||
|
||||
-- | Uses the specified config for the created session.
|
||||
sessionConfig :: Lens' Options ConfigProto
|
||||
|
||||
-- | Target can be: "local", ip:port, host:port. The set of supported
|
||||
-- factories depends on the linked in libraries.
|
||||
sessionTarget :: Lens' Options ByteString
|
||||
|
||||
-- | Uses the given logger to monitor session progress.
|
||||
sessionTracer :: Lens' Options Tracer
|
||||
|
||||
-- | Run <a>Session</a> actions in a new TensorFlow session.
|
||||
runSession :: Session a -> IO a
|
||||
|
||||
-- | Run <a>Session</a> actions in a new TensorFlow session created with
|
||||
-- the given option setter actions (<a>sessionTarget</a>,
|
||||
-- <a>sessionConfig</a>).
|
||||
runSessionWithOptions :: Options -> Session a -> IO a
|
||||
|
||||
-- | Lift a <a>Build</a> action into a monad, including any explicit op
|
||||
-- renderings.
|
||||
class Monad m => MonadBuild m
|
||||
build :: MonadBuild m => Build a -> m a
|
||||
|
||||
-- | Types that tensor representations (e.g. <a>Tensor</a>,
|
||||
-- <a>ControlNode</a>) can be fetched into.
|
||||
--
|
||||
-- Includes collections of tensors (e.g. tuples).
|
||||
class Nodes t => Fetchable t a
|
||||
|
||||
-- | Types that contain ops which can be run.
|
||||
class Nodes t
|
||||
|
||||
-- | Run a subgraph <tt>t</tt>, rendering any dependent nodes that aren't
|
||||
-- already rendered, and fetch the corresponding values for <tt>a</tt>.
|
||||
run :: Fetchable t a => t -> Session a
|
||||
|
||||
-- | Run a subgraph <tt>t</tt>, rendering and extending any dependent nodes
|
||||
-- that aren't already rendered. This behaves like <a>run</a> except that
|
||||
-- it doesn't do any fetches.
|
||||
run_ :: Nodes t => t -> Session ()
|
||||
|
||||
-- | A pair of a <a>Tensor</a> and some data that should be fed into that
|
||||
-- <a>Tensor</a> when running the graph.
|
||||
data Feed
|
||||
|
||||
-- | Create a <a>Feed</a> for feeding the given data into a <a>Tensor</a>
|
||||
-- when running the graph.
|
||||
--
|
||||
-- Note that if a <a>Tensor</a> is rendered, its identity may change; so
|
||||
-- feeding the rendered <a>Tensor</a> may be different than feeding the
|
||||
-- original <a>Tensor</a>.
|
||||
feed :: Rendered v => Tensor v a -> TensorData a -> Feed
|
||||
|
||||
-- | Run a subgraph <tt>t</tt>, rendering any dependent nodes that aren't
|
||||
-- already rendered, feed the given input values, and fetch the
|
||||
-- corresponding result values for <tt>a</tt>.
|
||||
runWithFeeds :: Fetchable t a => [Feed] -> t -> Session a
|
||||
|
||||
-- | Run a subgraph <tt>t</tt>, rendering any dependent nodes that aren't
|
||||
-- already rendered, feed the given input values, and fetch the
|
||||
-- corresponding result values for <tt>a</tt>. This behaves like
|
||||
-- <a>runWithFeeds</a> except that it doesn't do any fetches.
|
||||
runWithFeeds_ :: Nodes t => [Feed] -> t -> 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.
|
||||
asyncProdNodes :: Nodes t => t -> Session ()
|
||||
|
||||
-- | An action for building nodes in a TensorFlow graph.
|
||||
type Build = BuildT Identity
|
||||
|
||||
-- | An action for building nodes in a TensorFlow graph. Used to manage
|
||||
-- build state internally as part of the <tt>Session</tt> monad.
|
||||
data BuildT m a
|
||||
|
||||
-- | Render a <a>Tensor</a>, fixing its name, scope, device and control
|
||||
-- inputs from the <a>MonadBuild</a> context. Also renders any
|
||||
-- dependencies of the <a>Tensor</a> that weren't already rendered.
|
||||
--
|
||||
-- This operation is idempotent; calling <a>render</a> on the same input
|
||||
-- in the same context will produce the same result. However, rendering
|
||||
-- the same <tt>Tensor Build</tt> in two different contexts may result in
|
||||
-- two different <tt>Tensor Value</tt>s.
|
||||
render :: MonadBuild m => Tensor Build a -> m (Tensor Value a)
|
||||
|
||||
-- | Produce a GraphDef proto representation of the nodes that are rendered
|
||||
-- in the given <a>Build</a> action.
|
||||
asGraphDef :: Build a -> GraphDef
|
||||
addGraphDef :: MonadBuild m => GraphDef -> m ()
|
||||
opName :: Lens' OpDef PendingNodeName
|
||||
opAttr :: Attribute a => Text -> Lens' OpDef a
|
||||
|
||||
-- | A type of graph node which has no outputs. These nodes are valuable
|
||||
-- for causing side effects when they are run.
|
||||
data ControlNode
|
||||
|
||||
-- | A named output of a TensorFlow operation.
|
||||
--
|
||||
-- The type parameter <tt>a</tt> is the type of the elements in the
|
||||
-- <a>Tensor</a>. The parameter <tt>v</tt> is either:
|
||||
--
|
||||
-- <ul>
|
||||
-- <li><a>Build</a>: An unrendered, immutable value.</li>
|
||||
-- <li><a>Value</a>: A rendered, immutable value.</li>
|
||||
-- <li><a>Ref</a>: A rendered stateful handle (e.g., a variable).</li>
|
||||
-- </ul>
|
||||
--
|
||||
-- Note that <a>expr</a>, <a>value</a>, <a>render</a> and
|
||||
-- <a>renderValue</a> can help convert between the different types of
|
||||
-- <a>Tensor</a>.
|
||||
data Tensor v a
|
||||
data Value a
|
||||
data Ref a
|
||||
|
||||
-- | Cast a 'Tensor Ref' into a 'Tensor Value'. This behaves like a no-op.
|
||||
value :: Tensor Ref a -> Tensor Value a
|
||||
|
||||
-- | Create a <a>Tensor</a> for a given name. This can be used to reference
|
||||
-- nodes in a <tt>GraphDef</tt> that was loaded via <a>addGraphDef</a>.
|
||||
-- TODO(judahjacobson): add more safety checks here.
|
||||
tensorFromName :: TensorKind v => Text -> Tensor v a
|
||||
expr :: TensorKind v => Tensor v a -> Tensor Build a
|
||||
|
||||
-- | The class of scalar types supported by tensorflow.
|
||||
class TensorType a
|
||||
|
||||
-- | Tensor data with the correct memory layout for tensorflow.
|
||||
data TensorData a
|
||||
|
||||
-- | Types that can be converted to and from <a>TensorData</a>.
|
||||
--
|
||||
-- <a>Vector</a> is the most efficient to encode/decode for most element
|
||||
-- types.
|
||||
class TensorType a => TensorDataType s a
|
||||
|
||||
-- | Decode the bytes of a <a>TensorData</a> into an <a>s</a>.
|
||||
decodeTensorData :: TensorDataType s a => TensorData a -> s a
|
||||
|
||||
-- | Encode an <a>s</a> into a <a>TensorData</a>.
|
||||
--
|
||||
-- The values should be in row major order, e.g.,
|
||||
--
|
||||
-- element 0: index (0, ..., 0) element 1: index (0, ..., 1) ...
|
||||
encodeTensorData :: TensorDataType s a => Shape -> s a -> TensorData a
|
||||
newtype Scalar a
|
||||
Scalar :: a -> Scalar a
|
||||
[unScalar] :: Scalar a -> a
|
||||
|
||||
-- | Shape (dimensions) of a tensor.
|
||||
newtype Shape
|
||||
Shape :: [Int64] -> Shape
|
||||
|
||||
-- | A <a>Constraint</a> specifying the possible choices of a
|
||||
-- <a>TensorType</a>.
|
||||
--
|
||||
-- We implement a <a>Constraint</a> like <tt>OneOf '[Double, Float]
|
||||
-- a</tt> by turning the natural representation as a conjunction, i.e.,
|
||||
--
|
||||
-- <pre>
|
||||
-- a == Double || a == Float
|
||||
-- </pre>
|
||||
--
|
||||
-- into a disjunction like
|
||||
--
|
||||
-- <pre>
|
||||
-- a /= Int32 && a /= Int64 && a /= ByteString && ...
|
||||
-- </pre>
|
||||
--
|
||||
-- using an enumeration of all the possible <a>TensorType</a>s.
|
||||
type OneOf ts a = (TensorType a, TensorTypes ts, NoneOf (AllTensorTypes \\ ts) a)
|
||||
|
||||
-- | A constraint checking that two types are different.
|
||||
|
||||
-- | Places all nodes rendered in the given <a>Build</a> action on the same
|
||||
-- device as the given Tensor (see also <a>withDevice</a>). Make sure
|
||||
-- that the action has side effects of rendering the desired tensors. A
|
||||
-- pure return would not have the desired effect.
|
||||
colocateWith :: (MonadBuild m, Rendered v) => Tensor v b -> m a -> m a
|
||||
|
||||
-- | A device that a node can be assigned to. There's a naming convention
|
||||
-- where the device names are constructed from job and replica names.
|
||||
newtype Device
|
||||
Device :: Text -> Device
|
||||
[deviceName] :: Device -> Text
|
||||
|
||||
-- | Set a device for all nodes rendered in the given <a>Build</a> action
|
||||
-- (unless further overridden by another use of withDevice).
|
||||
withDevice :: MonadBuild m => Maybe Device -> m a -> m a
|
||||
|
||||
-- | Prepend a scope to all nodes rendered in the given <a>Build</a>
|
||||
-- action.
|
||||
withNameScope :: MonadBuild m => Text -> m a -> m a
|
||||
|
||||
-- | Modify a <a>Build</a> action, such that all new ops rendered in it
|
||||
-- will depend on the nodes in the first argument.
|
||||
withControlDependencies :: (MonadBuild m, Nodes t) => t -> m a -> m a
|
||||
|
||||
-- | Create an op that groups multiple operations.
|
||||
--
|
||||
-- When this op finishes, all ops in the input <tt>n</tt> have finished.
|
||||
-- This op has no output.
|
||||
group :: (MonadBuild m, Nodes t) => t -> m ControlNode
|
||||
|
||||
-- | Does nothing. Only useful as a placeholder for control edges.
|
||||
noOp :: MonadBuild m => m ControlNode
|
||||
|
|
@ -0,0 +1,203 @@
|
|||
Copyright 2016 The TensorFlow Authors. All rights reserved.
|
||||
|
||||
Apache License
|
||||
Version 2.0, January 2004
|
||||
http://www.apache.org/licenses/
|
||||
|
||||
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
|
||||
|
||||
1. Definitions.
|
||||
|
||||
"License" shall mean the terms and conditions for use, reproduction,
|
||||
and distribution as defined by Sections 1 through 9 of this document.
|
||||
|
||||
"Licensor" shall mean the copyright owner or entity authorized by
|
||||
the copyright owner that is granting the License.
|
||||
|
||||
"Legal Entity" shall mean the union of the acting entity and all
|
||||
other entities that control, are controlled by, or are under common
|
||||
control with that entity. For the purposes of this definition,
|
||||
"control" means (i) the power, direct or indirect, to cause the
|
||||
direction or management of such entity, whether by contract or
|
||||
otherwise, or (ii) ownership of fifty percent (50%) or more of the
|
||||
outstanding shares, or (iii) beneficial ownership of such entity.
|
||||
|
||||
"You" (or "Your") shall mean an individual or Legal Entity
|
||||
exercising permissions granted by this License.
|
||||
|
||||
"Source" form shall mean the preferred form for making modifications,
|
||||
including but not limited to software source code, documentation
|
||||
source, and configuration files.
|
||||
|
||||
"Object" form shall mean any form resulting from mechanical
|
||||
transformation or translation of a Source form, including but
|
||||
not limited to compiled object code, generated documentation,
|
||||
and conversions to other media types.
|
||||
|
||||
"Work" shall mean the work of authorship, whether in Source or
|
||||
Object form, made available under the License, as indicated by a
|
||||
copyright notice that is included in or attached to the work
|
||||
(an example is provided in the Appendix below).
|
||||
|
||||
"Derivative Works" shall mean any work, whether in Source or Object
|
||||
form, that is based on (or derived from) the Work and for which the
|
||||
editorial revisions, annotations, elaborations, or other modifications
|
||||
represent, as a whole, an original work of authorship. For the purposes
|
||||
of this License, Derivative Works shall not include works that remain
|
||||
separable from, or merely link (or bind by name) to the interfaces of,
|
||||
the Work and Derivative Works thereof.
|
||||
|
||||
"Contribution" shall mean any work of authorship, including
|
||||
the original version of the Work and any modifications or additions
|
||||
to that Work or Derivative Works thereof, that is intentionally
|
||||
submitted to Licensor for inclusion in the Work by the copyright owner
|
||||
or by an individual or Legal Entity authorized to submit on behalf of
|
||||
the copyright owner. For the purposes of this definition, "submitted"
|
||||
means any form of electronic, verbal, or written communication sent
|
||||
to the Licensor or its representatives, including but not limited to
|
||||
communication on electronic mailing lists, source code control systems,
|
||||
and issue tracking systems that are managed by, or on behalf of, the
|
||||
Licensor for the purpose of discussing and improving the Work, but
|
||||
excluding communication that is conspicuously marked or otherwise
|
||||
designated in writing by the copyright owner as "Not a Contribution."
|
||||
|
||||
"Contributor" shall mean Licensor and any individual or Legal Entity
|
||||
on behalf of whom a Contribution has been received by Licensor and
|
||||
subsequently incorporated within the Work.
|
||||
|
||||
2. Grant of Copyright License. Subject to the terms and conditions of
|
||||
this License, each Contributor hereby grants to You a perpetual,
|
||||
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
|
||||
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|
||||
publicly display, publicly perform, sublicense, and distribute the
|
||||
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||||
|
||||
3. Grant of Patent License. Subject to the terms and conditions of
|
||||
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|
||||
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
|
||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
|
||||
4. Redistribution. You may reproduce and distribute copies of the
|
||||
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</script></head><body><div id="package-header"><ul class="links" id="page-menu"><li><a href="index.html">Contents</a></li><li><a href="doc-index.html">Index</a></li></ul><p class="caption">tensorflow-0.1.0.0: TensorFlow bindings.</p></div><div id="content"><div id="alphabet"><ul><li><a href="doc-index-A.html">A</a></li><li><a href="doc-index-B.html">B</a></li><li><a href="doc-index-C.html">C</a></li><li><a href="doc-index-D.html">D</a></li><li><a href="doc-index-E.html">E</a></li><li><a href="doc-index-F.html">F</a></li><li><a href="doc-index-G.html">G</a></li><li><a href="doc-index-H.html">H</a></li><li><a href="doc-index-I.html">I</a></li><li><a href="doc-index-L.html">L</a></li><li><a href="doc-index-M.html">M</a></li><li><a href="doc-index-N.html">N</a></li><li><a href="doc-index-O.html">O</a></li><li><a href="doc-index-P.html">P</a></li><li><a href="doc-index-R.html">R</a></li><li><a href="doc-index-S.html">S</a></li><li><a href="doc-index-T.html">T</a></li><li><a href="doc-index-U.html">U</a></li><li><a href="doc-index-V.html">V</a></li><li><a href="doc-index-W.html">W</a></li><li><a href="doc-index-58.html">:</a></li><li><a href="doc-index-47.html">/</a></li><li><a href="doc-index-92.html">\</a></li><li><a href="doc-index-95.html">_</a></li><li><a href="doc-index-All.html">All</a></li></ul></div><div id="index"><p class="caption">Index - E</p><table><tr><td class="src">encodeOutput</td><td class="module"><a href="TensorFlow-Build.html#v:encodeOutput">TensorFlow.Build</a></td></tr><tr><td class="src">encodeTensorData</td><td class="module"><a href="TensorFlow-Types.html#v:encodeTensorData">TensorFlow.Types</a>, <a href="TensorFlow-Core.html#v:encodeTensorData">TensorFlow.Core</a></td></tr><tr><td class="src">eqLengthGuard</td><td class="module"><a href="TensorFlow-BuildOp.html#v:eqLengthGuard">TensorFlow.BuildOp</a></td></tr><tr><td class="src">evalBuildT</td><td class="module"><a href="TensorFlow-Build.html#v:evalBuildT">TensorFlow.Build</a></td></tr><tr><td class="src">ExcludedCase</td><td class="module"><a href="TensorFlow-Types.html#t:ExcludedCase">TensorFlow.Types</a></td></tr><tr><td class="src">ExplicitName</td><td class="module"><a href="TensorFlow-Output.html#v:ExplicitName">TensorFlow.Output</a></td></tr><tr><td class="src">explicitName</td><td class="module"><a href="TensorFlow-Build.html#v:explicitName">TensorFlow.Build</a></td></tr><tr><td class="src">expr</td><td class="module"><a href="TensorFlow-Tensor.html#v:expr">TensorFlow.Tensor</a>, <a href="TensorFlow-Core.html#v:expr">TensorFlow.Core</a></td></tr><tr><td class="src">extend</td><td class="module"><a href="TensorFlow-Session.html#v:extend">TensorFlow.Session</a></td></tr><tr><td class="src">extendGraph</td><td class="module"><a href="TensorFlow-Internal-FFI.html#v:extendGraph">TensorFlow.Internal.FFI</a></td></tr></table></div></div><div id="footer"><p>Produced by <a href="http://www.haskell.org/haddock/">Haddock</a> version 2.16.1</p></div></body></html>
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</script></head><body><div id="package-header"><ul class="links" id="page-menu"><li><a href="index.html">Contents</a></li><li><a href="doc-index.html">Index</a></li></ul><p class="caption">tensorflow-0.1.0.0: TensorFlow bindings.</p></div><div id="content"><div id="alphabet"><ul><li><a href="doc-index-A.html">A</a></li><li><a href="doc-index-B.html">B</a></li><li><a href="doc-index-C.html">C</a></li><li><a href="doc-index-D.html">D</a></li><li><a href="doc-index-E.html">E</a></li><li><a href="doc-index-F.html">F</a></li><li><a href="doc-index-G.html">G</a></li><li><a href="doc-index-H.html">H</a></li><li><a href="doc-index-I.html">I</a></li><li><a href="doc-index-L.html">L</a></li><li><a href="doc-index-M.html">M</a></li><li><a href="doc-index-N.html">N</a></li><li><a href="doc-index-O.html">O</a></li><li><a href="doc-index-P.html">P</a></li><li><a href="doc-index-R.html">R</a></li><li><a href="doc-index-S.html">S</a></li><li><a href="doc-index-T.html">T</a></li><li><a href="doc-index-U.html">U</a></li><li><a href="doc-index-V.html">V</a></li><li><a href="doc-index-W.html">W</a></li><li><a href="doc-index-58.html">:</a></li><li><a href="doc-index-47.html">/</a></li><li><a href="doc-index-92.html">\</a></li><li><a href="doc-index-95.html">_</a></li><li><a href="doc-index-All.html">All</a></li></ul></div><div id="index"><p class="caption">Index - S</p><table><tr><td class="src">Scalar</td><td> </td></tr><tr><td class="alt">1 (Type/Class)</td><td class="module"><a href="TensorFlow-Types.html#t:Scalar">TensorFlow.Types</a>, <a href="TensorFlow-Core.html#t:Scalar">TensorFlow.Core</a></td></tr><tr><td class="alt">2 (Data Constructor)</td><td class="module"><a href="TensorFlow-Types.html#v:Scalar">TensorFlow.Types</a>, <a href="TensorFlow-Core.html#v:Scalar">TensorFlow.Core</a></td></tr><tr><td class="src">Session</td><td> </td></tr><tr><td class="alt">1 (Type/Class)</td><td class="module"><a href="TensorFlow-Internal-FFI.html#t:Session">TensorFlow.Internal.FFI</a></td></tr><tr><td class="alt">2 (Type/Class)</td><td class="module"><a href="TensorFlow-Session.html#t:Session">TensorFlow.Session</a>, <a href="TensorFlow-Core.html#t:Session">TensorFlow.Core</a></td></tr><tr><td class="src">sessionConfig</td><td class="module"><a href="TensorFlow-Session.html#v:sessionConfig">TensorFlow.Session</a>, <a href="TensorFlow-Core.html#v:sessionConfig">TensorFlow.Core</a></td></tr><tr><td class="src">sessionTarget</td><td class="module"><a href="TensorFlow-Session.html#v:sessionTarget">TensorFlow.Session</a>, <a href="TensorFlow-Core.html#v:sessionTarget">TensorFlow.Core</a></td></tr><tr><td class="src">sessionTracer</td><td class="module"><a href="TensorFlow-Session.html#v:sessionTracer">TensorFlow.Session</a>, <a href="TensorFlow-Core.html#v:sessionTracer">TensorFlow.Core</a></td></tr><tr><td class="src">setSessionConfig</td><td class="module"><a href="TensorFlow-Internal-FFI.html#v:setSessionConfig">TensorFlow.Internal.FFI</a></td></tr><tr><td class="src">setSessionTarget</td><td class="module"><a href="TensorFlow-Internal-FFI.html#v:setSessionTarget">TensorFlow.Internal.FFI</a></td></tr><tr><td class="src">Shape</td><td> </td></tr><tr><td class="alt">1 (Type/Class)</td><td class="module"><a href="TensorFlow-Types.html#t:Shape">TensorFlow.Types</a>, <a href="TensorFlow-Core.html#t:Shape">TensorFlow.Core</a></td></tr><tr><td class="alt">2 (Data Constructor)</td><td class="module"><a href="TensorFlow-Types.html#v:Shape">TensorFlow.Types</a>, <a href="TensorFlow-Core.html#v:Shape">TensorFlow.Core</a></td></tr><tr><td class="src">summaries</td><td class="module"><a href="TensorFlow-Build.html#v:summaries">TensorFlow.Build</a></td></tr><tr><td class="src">SummaryTensor</td><td class="module"><a href="TensorFlow-Tensor.html#t:SummaryTensor">TensorFlow.Tensor</a></td></tr></table></div></div><div id="footer"><p>Produced by <a href="http://www.haskell.org/haddock/">Haddock</a> version 2.16.1</p></div></body></html>
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</script></head><body><div id="package-header"><ul class="links" id="page-menu"><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="alphabet"><ul><li><a href="doc-index-A.html">A</a></li><li><a href="doc-index-B.html">B</a></li><li><a href="doc-index-C.html">C</a></li><li><a href="doc-index-D.html">D</a></li><li><a href="doc-index-E.html">E</a></li><li><a href="doc-index-F.html">F</a></li><li><a href="doc-index-G.html">G</a></li><li><a href="doc-index-H.html">H</a></li><li><a href="doc-index-I.html">I</a></li><li><a href="doc-index-L.html">L</a></li><li><a href="doc-index-M.html">M</a></li><li><a href="doc-index-N.html">N</a></li><li><a href="doc-index-O.html">O</a></li><li><a href="doc-index-P.html">P</a></li><li><a href="doc-index-R.html">R</a></li><li><a href="doc-index-S.html">S</a></li><li><a href="doc-index-T.html">T</a></li><li><a href="doc-index-U.html">U</a></li><li><a href="doc-index-V.html">V</a></li><li><a href="doc-index-W.html">W</a></li><li><a href="doc-index-58.html">:</a></li><li><a href="doc-index-47.html">/</a></li><li><a href="doc-index-92.html">\</a></li><li><a href="doc-index-95.html">_</a></li><li><a href="doc-index-All.html">All</a></li></ul></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>
|
||||
|
|
@ -131,11 +131,11 @@ function perform_search(full)
|
|||
var text = document.getElementById("searchbox").value.toLowerCase();
|
||||
if (text == last_search && !full) return;
|
||||
last_search = text;
|
||||
|
||||
|
||||
var table = document.getElementById("indexlist");
|
||||
var status = document.getElementById("searchmsg");
|
||||
var children = table.firstChild.childNodes;
|
||||
|
||||
|
||||
// first figure out the first node with the prefix
|
||||
var first = bisect(-1);
|
||||
var last = (first == -1 ? -1 : bisect(1));
|
||||
|
|
@ -166,7 +166,7 @@ function perform_search(full)
|
|||
status.innerHTML = "";
|
||||
}
|
||||
|
||||
|
||||
|
||||
function setclass(first, last, status)
|
||||
{
|
||||
for (var i = first; i <= last; i++)
|
||||
|
|
@ -174,8 +174,8 @@ function perform_search(full)
|
|||
children[i].className = status;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
// do a binary search, treating 0 as ...
|
||||
// return either -1 (no 0's found) or location of most far match
|
||||
function bisect(dir)
|
||||
|
|
@ -201,9 +201,9 @@ function perform_search(full)
|
|||
if (checkitem(i) == 0) return i;
|
||||
}
|
||||
return -1;
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
|
||||
|
||||
// from an index, decide what the result is
|
||||
// 0 = match, -1 is lower, 1 is higher
|
||||
function checkitem(i)
|
||||
|
|
@ -212,8 +212,8 @@ function perform_search(full)
|
|||
if (s == text) return 0;
|
||||
else return (s > text ? -1 : 1);
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
// from an index, get its string
|
||||
// this abstracts over alternates
|
||||
function getitem(i)
|
||||
|
|
@ -229,7 +229,7 @@ function perform_search(full)
|
|||
}
|
||||
|
||||
function setSynopsis(filename) {
|
||||
if (parent.window.synopsis) {
|
||||
if (parent.window.synopsis && parent.window.synopsis.location) {
|
||||
if (parent.window.synopsis.location.replace) {
|
||||
// In Firefox this avoids adding the change to the history.
|
||||
parent.window.synopsis.location.replace(filename);
|
||||
|
|
@ -248,33 +248,6 @@ function addMenuItem(html) {
|
|||
}
|
||||
}
|
||||
|
||||
function adjustForFrames() {
|
||||
var bodyCls;
|
||||
|
||||
if (parent.location.href == window.location.href) {
|
||||
// not in frames, so add Frames button
|
||||
addMenuItem("<a href='#' onclick='reframe();return true;'>Frames</a>");
|
||||
bodyCls = "no-frame";
|
||||
}
|
||||
else {
|
||||
bodyCls = "in-frame";
|
||||
}
|
||||
addClass(document.body, bodyCls);
|
||||
}
|
||||
|
||||
function reframe() {
|
||||
setCookie("haddock-reframe", document.URL);
|
||||
window.location = "frames.html";
|
||||
}
|
||||
|
||||
function postReframe() {
|
||||
var s = getCookie("haddock-reframe");
|
||||
if (s) {
|
||||
parent.window.main.location = s;
|
||||
clearCookie("haddock-reframe");
|
||||
}
|
||||
}
|
||||
|
||||
function styles() {
|
||||
var i, a, es = document.getElementsByTagName("link"), rs = [];
|
||||
for (i = 0; a = es[i]; i++) {
|
||||
|
|
@ -337,7 +310,6 @@ function styleMenu(show) {
|
|||
|
||||
function pageLoad() {
|
||||
addStyleMenu();
|
||||
adjustForFrames();
|
||||
resetStyle();
|
||||
restoreCollapsed();
|
||||
}
|
||||
|
Before Width: | Height: | Size: 1.6 KiB After Width: | Height: | Size: 1.6 KiB |
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