<!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><link rel="stylesheet" type="text/css" href="style.css" /><script type="text/javascript" src="highlight.js"></script></head><body><pre><span class="hs-comment">-- Copyright 2016 TensorFlow authors.</span><span> </span><span id="line-2"></span><span class="hs-comment">--</span><span> </span><span id="line-3"></span><span class="hs-comment">-- Licensed under the Apache License, Version 2.0 (the "License");</span><span> </span><span id="line-4"></span><span class="hs-comment">-- you may not use this file except in compliance with the License.</span><span> </span><span id="line-5"></span><span class="hs-comment">-- You may obtain a copy of the License at</span><span> </span><span id="line-6"></span><span class="hs-comment">--</span><span> </span><span id="line-7"></span><span class="hs-comment">-- http://www.apache.org/licenses/LICENSE-2.0</span><span> </span><span id="line-8"></span><span class="hs-comment">--</span><span> </span><span id="line-9"></span><span class="hs-comment">-- Unless required by applicable law or agreed to in writing, software</span><span> </span><span id="line-10"></span><span class="hs-comment">-- distributed under the License is distributed on an "AS IS" BASIS,</span><span> </span><span id="line-11"></span><span class="hs-comment">-- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span><span> </span><span id="line-12"></span><span class="hs-comment">-- See the License for the specific language governing permissions and</span><span> </span><span id="line-13"></span><span class="hs-comment">-- limitations under the License.</span><span> </span><span id="line-14"></span><span> </span><span id="line-15"></span><span class="hs-pragma">{-# LANGUAGE GeneralizedNewtypeDeriving #-}</span><span> </span><span id="line-16"></span><span class="hs-pragma">{-# LANGUAGE OverloadedStrings #-}</span><span> </span><span id="line-17"></span><span class="hs-pragma">{-# LANGUAGE Rank2Types #-}</span><span> </span><span id="line-18"></span><span class="hs-pragma">{-# LANGUAGE ScopedTypeVariables #-}</span><span> </span><span id="line-19"></span><span class="hs-pragma">{-# LANGUAGE TupleSections #-}</span><span> </span><span id="line-20"></span><span> </span><span id="line-21"></span><span class="hs-keyword">module</span><span> </span><span class="hs-identifier">TensorFlow.Session</span><span> </span><span class="hs-special">(</span><span> </span><span id="line-22"></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#Session"><span class="hs-identifier">Session</span></a></span><span class="hs-special">,</span><span> </span><span id="line-23"></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#SessionT"><span class="hs-identifier">SessionT</span></a></span><span class="hs-special">,</span><span> </span><span id="line-24"></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#Options"><span class="hs-identifier">Options</span></a></span><span class="hs-special">,</span><span> </span><span id="line-25"></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#sessionConfig"><span class="hs-identifier">sessionConfig</span></a></span><span class="hs-special">,</span><span> </span><span id="line-26"></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#sessionTarget"><span class="hs-identifier">sessionTarget</span></a></span><span class="hs-special">,</span><span> </span><span id="line-27"></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#sessionTracer"><span class="hs-identifier">sessionTracer</span></a></span><span class="hs-special">,</span><span> </span><span id="line-28"></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#runSession"><span class="hs-identifier">runSession</span></a></span><span class="hs-special">,</span><span> </span><span id="line-29"></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#runSessionWithOptions"><span class="hs-identifier">runSessionWithOptions</span></a></span><span class="hs-special">,</span><span> </span><span id="line-30"></span><span> </span><span class="annot"><a href="TensorFlow.Build.html#MonadBuild"><span class="hs-identifier">MonadBuild</span></a></span><span class="hs-special">(</span><span class="hs-glyph">..</span><span class="hs-special">)</span><span class="hs-special">,</span><span> </span><span id="line-31"></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#extend"><span class="hs-identifier">extend</span></a></span><span class="hs-special">,</span><span> </span><span id="line-32"></span><span> </span><span class="annot"><a href="TensorFlow.Build.html#addGraphDef"><span class="hs-identifier">addGraphDef</span></a></span><span class="hs-special">,</span><span> </span><span id="line-33"></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#run"><span class="hs-identifier">run</span></a></span><span class="hs-special">,</span><span> </span><span id="line-34"></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#runWithFeeds"><span class="hs-identifier">runWithFeeds</span></a></span><span class="hs-special">,</span><span> </span><span id="line-35"></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#run_"><span class="hs-identifier">run_</span></a></span><span class="hs-special">,</span><span> </span><span id="line-36"></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#runWithFeeds_"><span class="hs-identifier">runWithFeeds_</span></a></span><span class="hs-special">,</span><span> </span><span id="line-37"></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#asyncProdNodes"><span class="hs-identifier">asyncProdNodes</span></a></span><span class="hs-special">,</span><span> </span><span id="line-38"></span><span> </span><span class="hs-special">)</span><span> </span><span class="hs-keyword">where</span><span> </span><span id="line-39"></span><span> </span><span id="line-40"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><span class="hs-identifier">Data.ProtoLens.Message</span></span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier">defMessage</span></span><span class="hs-special">)</span><span> </span><span id="line-41"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><span class="hs-identifier">Control.Monad</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier">forever</span></span><span class="hs-special">,</span><span> </span><span class="annot"><span class="hs-identifier">unless</span></span><span class="hs-special">,</span><span> </span><span class="annot"><span class="hs-identifier">void</span></span><span class="hs-special">)</span><span> </span><span id="line-42"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><span class="hs-identifier">Control.Monad.Catch</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier">MonadThrow</span></span><span class="hs-special">,</span><span> </span><span class="annot"><span class="hs-identifier">MonadCatch</span></span><span class="hs-special">,</span><span> </span><span class="annot"><span class="hs-identifier">MonadMask</span></span><span class="hs-special">)</span><span> </span><span id="line-43"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><span class="hs-identifier">Control.Monad.IO.Class</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier">MonadIO</span></span><span class="hs-special">,</span><span> </span><span class="annot"><span class="hs-identifier">liftIO</span></span><span class="hs-special">)</span><span> </span><span id="line-44"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><span class="hs-identifier">Control.Monad.Trans.Class</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier">MonadTrans</span></span><span class="hs-special">,</span><span> </span><span class="annot"><span class="hs-identifier">lift</span></span><span class="hs-special">)</span><span> </span><span id="line-45"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><span class="hs-identifier">Control.Monad.Trans.Reader</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier">ReaderT</span></span><span class="hs-special">(</span><span class="hs-glyph">..</span><span class="hs-special">)</span><span class="hs-special">,</span><span> </span><span class="annot"><span class="hs-identifier">ask</span></span><span class="hs-special">,</span><span> </span><span class="annot"><span class="hs-identifier">asks</span></span><span class="hs-special">)</span><span> </span><span id="line-46"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><span class="hs-identifier">Data.ByteString</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier">ByteString</span></span><span class="hs-special">)</span><span> </span><span id="line-47"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><span class="hs-identifier">Data.Default</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier">Default</span></span><span class="hs-special">,</span><span> </span><span class="annot"><span class="hs-identifier">def</span></span><span class="hs-special">)</span><span> </span><span id="line-48"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><span class="hs-identifier">Data.ProtoLens</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier">showMessage</span></span><span class="hs-special">)</span><span> </span><span id="line-49"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><span class="hs-identifier">Data.Set</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier">Set</span></span><span class="hs-special">)</span><span> </span><span id="line-50"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><span class="hs-identifier">Data.Text.Encoding</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier">encodeUtf8</span></span><span class="hs-special">)</span><span> </span><span id="line-51"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><span class="hs-identifier">Lens.Family2</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier">Lens'</span></span><span class="hs-special">,</span><span> </span><span class="annot"><span class="hs-operator">(^.)</span></span><span class="hs-special">,</span><span> </span><span class="annot"><span class="hs-operator">(&)</span></span><span class="hs-special">,</span><span> </span><span class="annot"><span class="hs-operator">(.~)</span></span><span class="hs-special">)</span><span> </span><span id="line-52"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><span class="hs-identifier">Lens.Family2.Unchecked</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier">lens</span></span><span class="hs-special">)</span><span> </span><span id="line-53"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><span class="hs-identifier">Proto.Tensorflow.Core.Framework.Graph</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier">GraphDef</span></span><span class="hs-special">)</span><span> </span><span id="line-54"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><span class="hs-identifier">Proto.Tensorflow.Core.Framework.Graph_Fields</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier">node</span></span><span class="hs-special">)</span><span> </span><span id="line-55"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><span class="hs-identifier">Proto.Tensorflow.Core.Protobuf.Config</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier">ConfigProto</span></span><span class="hs-special">)</span><span> </span><span id="line-56"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><a href="TensorFlow.Build.html"><span class="hs-identifier">TensorFlow.Build</span></a></span><span> </span><span id="line-57"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><a href="TensorFlow.Nodes.html"><span class="hs-identifier">TensorFlow.Nodes</span></a></span><span> </span><span id="line-58"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><a href="TensorFlow.Output.html"><span class="hs-identifier">TensorFlow.Output</span></a></span><span> </span><span class="hs-special">(</span><span class="annot"><a href="TensorFlow.Output.html#NodeName"><span class="hs-identifier">NodeName</span></a></span><span class="hs-special">,</span><span> </span><span class="annot"><a href="TensorFlow.Output.html#unNodeName"><span class="hs-identifier">unNodeName</span></a></span><span class="hs-special">)</span><span> </span><span id="line-59"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><a href="TensorFlow.Tensor.html"><span class="hs-identifier">TensorFlow.Tensor</span></a></span><span> </span><span id="line-60"></span><span> </span><span id="line-61"></span><span class="hs-keyword">import</span><span> </span><span class="hs-keyword">qualified</span><span> </span><span class="annot"><span class="hs-identifier">Data.ByteString.Builder</span></span><span> </span><span class="hs-keyword">as</span><span> </span><span class="annot"><span class="hs-identifier">Builder</span></span><span> </span><span id="line-62"></span><span class="hs-keyword">import</span><span> </span><span class="hs-keyword">qualified</span><span> </span><span class="annot"><span class="hs-identifier">Data.Map.Strict</span></span><span> </span><span class="hs-keyword">as</span><span> </span><span class="annot"><span class="hs-identifier">Map</span></span><span> </span><span id="line-63"></span><span class="hs-keyword">import</span><span> </span><span class="hs-keyword">qualified</span><span> </span><span class="annot"><span class="hs-identifier">Data.Set</span></span><span> </span><span class="hs-keyword">as</span><span> </span><span class="annot"><span class="hs-identifier">Set</span></span><span> </span><span id="line-64"></span><span class="hs-keyword">import</span><span> </span><span class="hs-keyword">qualified</span><span> </span><span class="annot"><a href="TensorFlow.Internal.FFI.html"><span class="hs-identifier">TensorFlow.Internal.FFI</span></a></span><span> </span><span class="hs-keyword">as</span><span> </span><span class="annot"><span class="hs-identifier">FFI</span></span><span> </span><span id="line-65"></span><span> </span><span id="line-66"></span><span class="hs-comment">-- | An action for logging.</span><span> </span><span id="line-67"></span><span class="hs-keyword">type</span><span> </span><span id="Tracer"><span class="annot"><a href="TensorFlow.Session.html#Tracer"><span class="hs-identifier hs-var">Tracer</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="hs-identifier hs-type">Builder.Builder</span></span><span> </span><span class="hs-glyph">-></span><span> </span><span class="annot"><span class="hs-identifier hs-type">IO</span></span><span> </span><span class="hs-special">(</span><span class="hs-special">)</span><span> </span><span id="line-68"></span><span> </span><span id="line-69"></span><span class="hs-comment">-- Common state threaded through the session.</span><span> </span><span id="line-70"></span><span class="hs-keyword">data</span><span> </span><span id="SessionState"><span class="annot"><a href="TensorFlow.Session.html#SessionState"><span class="hs-identifier hs-var">SessionState</span></a></span></span><span> </span><span id="line-71"></span><span> </span><span class="hs-glyph">=</span><span> </span><span id="SessionState"><span class="annot"><a href="TensorFlow.Session.html#SessionState"><span class="hs-identifier hs-var">SessionState</span></a></span></span><span> </span><span class="hs-special">{</span><span> </span><span id="line-72"></span><span> </span><span id="rawSession"><span class="annot"><span class="annottext">SessionState -> Session </span><a href="TensorFlow.Session.html#rawSession"><span class="hs-identifier hs-var hs-var">rawSession</span></a></span></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="annot"><a href="TensorFlow.Internal.Raw.html#Session"><span class="hs-identifier hs-type">FFI.Session</span></a></span><span> </span><span id="line-73"></span><span> </span><span class="hs-special">,</span><span> </span><span id="asyncCollector"><span class="annot"><span class="annottext">SessionState -> IO () -> IO () </span><a href="TensorFlow.Session.html#asyncCollector"><span class="hs-identifier hs-var hs-var">asyncCollector</span></a></span></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="annot"><span class="hs-identifier hs-type">IO</span></span><span> </span><span class="hs-special">(</span><span class="hs-special">)</span><span> </span><span class="hs-glyph">-></span><span> </span><span class="annot"><span class="hs-identifier hs-type">IO</span></span><span> </span><span class="hs-special">(</span><span class="hs-special">)</span><span> </span><span id="line-74"></span><span> </span><span class="hs-comment">-- ^ Starts the given action concurrently.</span><span> </span><span id="line-75"></span><span> </span><span class="hs-special">,</span><span> </span><span id="tracer"><span class="annot"><span class="annottext">SessionState -> Tracer </span><a href="TensorFlow.Session.html#tracer"><span class="hs-identifier hs-var hs-var">tracer</span></a></span></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="annot"><a href="TensorFlow.Session.html#Tracer"><span class="hs-identifier hs-type">Tracer</span></a></span><span> </span><span id="line-76"></span><span> </span><span class="hs-special">}</span><span> </span><span id="line-77"></span><span> </span><span id="line-78"></span><span class="hs-keyword">newtype</span><span> </span><span id="SessionT"><span class="annot"><a href="TensorFlow.Session.html#SessionT"><span class="hs-identifier hs-var">SessionT</span></a></span></span><span> </span><span id="local-6989586621679166914"><span class="annot"><a href="#local-6989586621679166914"><span class="hs-identifier hs-type">m</span></a></span></span><span> </span><span id="local-6989586621679166913"><span class="annot"><a href="#local-6989586621679166913"><span class="hs-identifier hs-type">a</span></a></span></span><span> </span><span id="line-79"></span><span> </span><span class="hs-glyph">=</span><span> </span><span id="Session"><span class="annot"><a href="TensorFlow.Session.html#Session"><span class="hs-identifier hs-var">Session</span></a></span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier hs-type">ReaderT</span></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#SessionState"><span class="hs-identifier hs-type">SessionState</span></a></span><span> </span><span class="hs-special">(</span><span class="annot"><a href="TensorFlow.Build.html#BuildT"><span class="hs-identifier hs-type">BuildT</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166914"><span class="hs-identifier hs-type">m</span></a></span><span class="hs-special">)</span><span> </span><span class="annot"><a href="#local-6989586621679166913"><span class="hs-identifier hs-type">a</span></a></span><span class="hs-special">)</span><span> </span><span id="line-80"></span><span> </span><span class="hs-keyword">deriving</span><span> </span><span class="hs-special">(</span><span id="local-6989586621679166744"><span id="local-6989586621679166746"><span class="annot"><span class="annottext">a -> SessionT m b -> SessionT m a (a -> b) -> SessionT m a -> SessionT m b (forall a b. (a -> b) -> SessionT m a -> SessionT m b) -> (forall a b. a -> SessionT m b -> SessionT m a) -> Functor (SessionT m) forall a b. a -> SessionT m b -> SessionT m a forall a b. (a -> b) -> SessionT m a -> SessionT m b forall (m :: * -> *) a b. Functor m => a -> SessionT m b -> SessionT m a forall (m :: * -> *) a b. Functor m => (a -> b) -> SessionT m a -> SessionT m b forall (f :: * -> *). (forall a b. (a -> b) -> f a -> f b) -> (forall a b. a -> f b -> f a) -> Functor f <$ :: a -> SessionT m b -> SessionT m a $c<$ :: forall (m :: * -> *) a b. Functor m => a -> SessionT m b -> SessionT m a fmap :: (a -> b) -> SessionT m a -> SessionT m b $cfmap :: forall (m :: * -> *) a b. Functor m => (a -> b) -> SessionT m a -> SessionT m b </span><span class="hs-identifier hs-var hs-var hs-var hs-var hs-var hs-var">Functor</span></span></span></span><span class="hs-special">,</span><span> </span><span id="local-6989586621679166732"><span id="local-6989586621679166734"><span id="local-6989586621679166736"><span id="local-6989586621679166738"><span id="local-6989586621679166740"><span class="annot"><span class="annottext">Functor (SessionT m) a -> SessionT m a Functor (SessionT m) => (forall a. a -> SessionT m a) -> (forall a b. SessionT m (a -> b) -> SessionT m a -> SessionT m b) -> (forall a b c. (a -> b -> c) -> SessionT m a -> SessionT m b -> SessionT m c) -> (forall a b. SessionT m a -> SessionT m b -> SessionT m b) -> (forall a b. SessionT m a -> SessionT m b -> SessionT m a) -> Applicative (SessionT m) SessionT m a -> SessionT m b -> SessionT m b SessionT m a -> SessionT m b -> SessionT m a SessionT m (a -> b) -> SessionT m a -> SessionT m b (a -> b -> c) -> SessionT m a -> SessionT m b -> SessionT m c forall a. a -> SessionT m a forall a b. SessionT m a -> SessionT m b -> SessionT m a forall a b. SessionT m a -> SessionT m b -> SessionT m b forall a b. SessionT m (a -> b) -> SessionT m a -> SessionT m b forall a b c. (a -> b -> c) -> SessionT m a -> SessionT m b -> SessionT m c forall (m :: * -> *). Monad m => Functor (SessionT m) forall (m :: * -> *) a. Monad m => a -> SessionT m a forall (m :: * -> *) a b. Monad m => SessionT m a -> SessionT m b -> SessionT m a forall (m :: * -> *) a b. Monad m => SessionT m a -> SessionT m b -> SessionT m b forall (m :: * -> *) a b. Monad m => SessionT m (a -> b) -> SessionT m a -> SessionT m b forall (m :: * -> *) a b c. Monad m => (a -> b -> c) -> SessionT m a -> SessionT m b -> SessionT m c forall (f :: * -> *). Functor f => (forall a. a -> f a) -> (forall a b. f (a -> b) -> f a -> f b) -> (forall a b c. (a -> b -> c) -> f a -> f b -> f c) -> (forall a b. f a -> f b -> f b) -> (forall a b. f a -> f b -> f a) -> Applicative f <* :: SessionT m a -> SessionT m b -> SessionT m a $c<* :: forall (m :: * -> *) a b. Monad m => SessionT m a -> SessionT m b -> SessionT m a *> :: SessionT m a -> SessionT m b -> SessionT m b $c*> :: forall (m :: * -> *) a b. Monad m => SessionT m a -> SessionT m b -> SessionT m b liftA2 :: (a -> b -> c) -> SessionT m a -> SessionT m b -> SessionT m c $cliftA2 :: forall (m :: * -> *) a b c. Monad m => (a -> b -> c) -> SessionT m a -> SessionT m b -> SessionT m c <*> :: SessionT m (a -> b) -> SessionT m a -> SessionT m b $c<*> :: forall (m :: * -> *) a b. Monad m => SessionT m (a -> b) -> SessionT m a -> SessionT m b pure :: a -> SessionT m a $cpure :: forall (m :: * -> *) a. Monad m => a -> SessionT m a $cp1Applicative :: forall (m :: * -> *). Monad m => Functor (SessionT m) </span><span class="hs-identifier hs-var hs-var hs-var hs-var hs-var hs-var hs-var hs-var hs-var hs-var hs-var hs-var hs-var">Applicative</span></span></span></span></span></span></span><span class="hs-special">,</span><span> </span><span id="local-6989586621679166724"><span id="local-6989586621679166726"><span id="local-6989586621679166728"><span class="annot"><span class="annottext">Applicative (SessionT m) a -> SessionT m a Applicative (SessionT m) => (forall a b. SessionT m a -> (a -> SessionT m b) -> SessionT m b) -> (forall a b. SessionT m a -> SessionT m b -> SessionT m b) -> (forall a. a -> SessionT m a) -> Monad (SessionT m) SessionT m a -> (a -> SessionT m b) -> SessionT m b SessionT m a -> SessionT m b -> SessionT m b forall a. a -> SessionT m a forall a b. SessionT m a -> SessionT m b -> SessionT m b forall a b. SessionT m a -> (a -> SessionT m b) -> SessionT m b forall (m :: * -> *). Monad m => Applicative (SessionT m) forall (m :: * -> *) a. Monad m => a -> SessionT m a forall (m :: * -> *) a b. Monad m => SessionT m a -> SessionT m b -> SessionT m b forall (m :: * -> *) a b. Monad m => SessionT m a -> (a -> SessionT m b) -> SessionT m b forall (m :: * -> *). Applicative m => (forall a b. m a -> (a -> m b) -> m b) -> (forall a b. m a -> m b -> m b) -> (forall a. a -> m a) -> Monad m return :: a -> SessionT m a $creturn :: forall (m :: * -> *) a. Monad m => a -> SessionT m a >> :: SessionT m a -> SessionT m b -> SessionT m b $c>> :: forall (m :: * -> *) a b. Monad m => SessionT m a -> SessionT m b -> SessionT m b >>= :: SessionT m a -> (a -> SessionT m b) -> SessionT m b $c>>= :: forall (m :: * -> *) a b. Monad m => SessionT m a -> (a -> SessionT m b) -> SessionT m b $cp1Monad :: forall (m :: * -> *). Monad m => Applicative (SessionT m) </span><span class="hs-identifier hs-var hs-var hs-var hs-var hs-var hs-var hs-var hs-var hs-var">Monad</span></span></span></span></span><span class="hs-special">,</span><span> </span><span id="local-6989586621679166720"><span class="annot"><span class="annottext">Monad (SessionT m) Monad (SessionT m) => (forall a. IO a -> SessionT m a) -> MonadIO (SessionT m) IO a -> SessionT m a forall a. IO a -> SessionT m a forall (m :: * -> *). Monad m => (forall a. IO a -> m a) -> MonadIO m forall (m :: * -> *). MonadIO m => Monad (SessionT m) forall (m :: * -> *) a. MonadIO m => IO a -> SessionT m a liftIO :: IO a -> SessionT m a $cliftIO :: forall (m :: * -> *) a. MonadIO m => IO a -> SessionT m a $cp1MonadIO :: forall (m :: * -> *). MonadIO m => Monad (SessionT m) </span><span class="hs-identifier hs-var hs-var hs-var hs-var hs-var">MonadIO</span></span></span><span class="hs-special">,</span><span> </span><span id="local-6989586621679166716"><span class="annot"><span class="annottext">Monad (SessionT m) e -> SessionT m a Monad (SessionT m) => (forall e a. Exception e => e -> SessionT m a) -> MonadThrow (SessionT m) forall e a. Exception e => e -> SessionT m a forall (m :: * -> *). Monad m => (forall e a. Exception e => e -> m a) -> MonadThrow m forall (m :: * -> *). MonadThrow m => Monad (SessionT m) forall (m :: * -> *) e a. (MonadThrow m, Exception e) => e -> SessionT m a throwM :: e -> SessionT m a $cthrowM :: forall (m :: * -> *) e a. (MonadThrow m, Exception e) => e -> SessionT m a $cp1MonadThrow :: forall (m :: * -> *). MonadThrow m => Monad (SessionT m) </span><span class="hs-identifier hs-var hs-var hs-var hs-var hs-var">MonadThrow</span></span></span><span class="hs-special">,</span><span> </span><span id="local-6989586621679166712"><span class="annot"><span class="annottext">MonadThrow (SessionT m) MonadThrow (SessionT m) => (forall e a. Exception e => SessionT m a -> (e -> SessionT m a) -> SessionT m a) -> MonadCatch (SessionT m) SessionT m a -> (e -> SessionT m a) -> SessionT m a forall e a. Exception e => SessionT m a -> (e -> SessionT m a) -> SessionT m a forall (m :: * -> *). MonadCatch m => MonadThrow (SessionT m) forall (m :: * -> *) e a. (MonadCatch m, Exception e) => SessionT m a -> (e -> SessionT m a) -> SessionT m a forall (m :: * -> *). MonadThrow m => (forall e a. Exception e => m a -> (e -> m a) -> m a) -> MonadCatch m catch :: SessionT m a -> (e -> SessionT m a) -> SessionT m a $ccatch :: forall (m :: * -> *) e a. (MonadCatch m, Exception e) => SessionT m a -> (e -> SessionT m a) -> SessionT m a $cp1MonadCatch :: forall (m :: * -> *). MonadCatch m => MonadThrow (SessionT m) </span><span class="hs-identifier hs-var hs-var hs-var hs-var hs-var">MonadCatch</span></span></span><span class="hs-special">,</span><span> </span><span id="line-81"></span><span> </span><span id="local-6989586621679166704"><span id="local-6989586621679166706"><span id="local-6989586621679166708"><span class="annot"><span class="annottext">MonadCatch (SessionT m) MonadCatch (SessionT m) => (forall b. ((forall a. SessionT m a -> SessionT m a) -> SessionT m b) -> SessionT m b) -> (forall b. ((forall a. SessionT m a -> SessionT m a) -> SessionT m b) -> SessionT m b) -> (forall a b c. SessionT m a -> (a -> ExitCase b -> SessionT m c) -> (a -> SessionT m b) -> SessionT m (b, c)) -> MonadMask (SessionT m) SessionT m a -> (a -> ExitCase b -> SessionT m c) -> (a -> SessionT m b) -> SessionT m (b, c) ((forall a. SessionT m a -> SessionT m a) -> SessionT m b) -> SessionT m b ((forall a. SessionT m a -> SessionT m a) -> SessionT m b) -> SessionT m b forall b. ((forall a. SessionT m a -> SessionT m a) -> SessionT m b) -> SessionT m b forall a b c. SessionT m a -> (a -> ExitCase b -> SessionT m c) -> (a -> SessionT m b) -> SessionT m (b, c) forall (m :: * -> *). MonadCatch m => (forall b. ((forall a. m a -> m a) -> m b) -> m b) -> (forall b. ((forall a. m a -> m a) -> m b) -> m b) -> (forall a b c. m a -> (a -> ExitCase b -> m c) -> (a -> m b) -> m (b, c)) -> MonadMask m forall (m :: * -> *). MonadMask m => MonadCatch (SessionT m) forall (m :: * -> *) b. MonadMask m => ((forall a. SessionT m a -> SessionT m a) -> SessionT m b) -> SessionT m b forall (m :: * -> *) a b c. MonadMask m => SessionT m a -> (a -> ExitCase b -> SessionT m c) -> (a -> SessionT m b) -> SessionT m (b, c) generalBracket :: SessionT m a -> (a -> ExitCase b -> SessionT m c) -> (a -> SessionT m b) -> SessionT m (b, c) $cgeneralBracket :: forall (m :: * -> *) a b c. MonadMask m => SessionT m a -> (a -> ExitCase b -> SessionT m c) -> (a -> SessionT m b) -> SessionT m (b, c) uninterruptibleMask :: ((forall a. SessionT m a -> SessionT m a) -> SessionT m b) -> SessionT m b $cuninterruptibleMask :: forall (m :: * -> *) b. MonadMask m => ((forall a. SessionT m a -> SessionT m a) -> SessionT m b) -> SessionT m b mask :: ((forall a. SessionT m a -> SessionT m a) -> SessionT m b) -> SessionT m b $cmask :: forall (m :: * -> *) b. MonadMask m => ((forall a. SessionT m a -> SessionT m a) -> SessionT m b) -> SessionT m b $cp1MonadMask :: forall (m :: * -> *). MonadMask m => MonadCatch (SessionT m) </span><span class="hs-identifier hs-var hs-var hs-var hs-var hs-var hs-var hs-var hs-var hs-var">MonadMask</span></span></span></span></span><span class="hs-special">,</span><span> </span><span id="local-6989586621679166700"><span class="annot"><span class="annottext">Monad (SessionT m) Monad (SessionT m) => (forall a. String -> SessionT m a) -> MonadFail (SessionT m) String -> SessionT m a forall a. String -> SessionT m a forall (m :: * -> *). Monad m => (forall a. String -> m a) -> MonadFail m forall (m :: * -> *). MonadFail m => Monad (SessionT m) forall (m :: * -> *) a. MonadFail m => String -> SessionT m a fail :: String -> SessionT m a $cfail :: forall (m :: * -> *) a. MonadFail m => String -> SessionT m a $cp1MonadFail :: forall (m :: * -> *). MonadFail m => Monad (SessionT m) </span><span class="hs-identifier hs-var hs-var hs-var hs-var hs-var">MonadFail</span></span></span><span class="hs-special">)</span><span> </span><span id="line-82"></span><span> </span><span id="line-83"></span><span class="hs-keyword">instance</span><span> </span><span class="annot"><span class="hs-identifier hs-type">MonadTrans</span></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#SessionT"><span class="hs-identifier hs-type">SessionT</span></a></span><span> </span><span class="hs-keyword">where</span><span> </span><span id="line-84"></span><span> </span><span id="local-6989586621679166696"><span class="annot"><span class="annottext">lift :: m a -> SessionT m a </span><a href="#local-6989586621679166696"><span class="hs-identifier hs-var hs-var hs-var hs-var">lift</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">ReaderT SessionState (BuildT m) a -> SessionT m a forall (m :: * -> *) a. ReaderT SessionState (BuildT m) a -> SessionT m a </span><a href="TensorFlow.Session.html#Session"><span class="hs-identifier hs-var">Session</span></a></span><span> </span><span class="annot"><span class="annottext">(ReaderT SessionState (BuildT m) a -> SessionT m a) -> (m a -> ReaderT SessionState (BuildT m) a) -> m a -> SessionT m a forall b c a. (b -> c) -> (a -> b) -> a -> c </span><span class="hs-operator hs-var">.</span></span><span> </span><span class="annot"><span class="annottext">BuildT m a -> ReaderT SessionState (BuildT m) a forall (t :: (* -> *) -> * -> *) (m :: * -> *) a. (MonadTrans t, Monad m) => m a -> t m a </span><span class="hs-identifier hs-var">lift</span></span><span> </span><span class="annot"><span class="annottext">(BuildT m a -> ReaderT SessionState (BuildT m) a) -> (m a -> BuildT m a) -> m a -> ReaderT SessionState (BuildT m) a forall b c a. (b -> c) -> (a -> b) -> a -> c </span><span class="hs-operator hs-var">.</span></span><span> </span><span class="annot"><span class="annottext">m a -> BuildT m a forall (t :: (* -> *) -> * -> *) (m :: * -> *) a. (MonadTrans t, Monad m) => m a -> t m a </span><span class="hs-identifier hs-var">lift</span></span><span> </span><span id="line-85"></span><span> </span><span id="line-86"></span><span class="hs-keyword">type</span><span> </span><span id="Session"><span class="annot"><a href="TensorFlow.Session.html#Session"><span class="hs-identifier hs-var">Session</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><a href="TensorFlow.Session.html#SessionT"><span class="hs-identifier hs-type">SessionT</span></a></span><span> </span><span class="annot"><span class="hs-identifier hs-type">IO</span></span><span> </span><span id="line-87"></span><span> </span><span id="line-88"></span><span class="hs-comment">-- | Run 'Session' actions in a new TensorFlow session.</span><span> </span><span id="line-89"></span><span id="local-6989586621679166693"><span id="local-6989586621679166694"><span class="annot"><a href="TensorFlow.Session.html#runSession"><span class="hs-identifier hs-type">runSession</span></a></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier hs-type">MonadMask</span></span><span> </span><span class="annot"><a href="#local-6989586621679166694"><span class="hs-identifier hs-type">m</span></a></span><span class="hs-special">,</span><span> </span><span class="annot"><span class="hs-identifier hs-type">MonadIO</span></span><span> </span><span class="annot"><a href="#local-6989586621679166694"><span class="hs-identifier hs-type">m</span></a></span><span class="hs-special">)</span><span> </span><span class="hs-glyph">=></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#SessionT"><span class="hs-identifier hs-type">SessionT</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166694"><span class="hs-identifier hs-type">m</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166693"><span class="hs-identifier hs-type">a</span></a></span><span> </span><span class="hs-glyph">-></span><span> </span><span class="annot"><a href="#local-6989586621679166694"><span class="hs-identifier hs-type">m</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166693"><span class="hs-identifier hs-type">a</span></a></span></span></span><span> </span><span id="line-90"></span><span id="runSession"><span class="annot"><span class="annottext">runSession :: SessionT m a -> m a </span><a href="TensorFlow.Session.html#runSession"><span class="hs-identifier hs-var hs-var">runSession</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">Options -> SessionT m a -> m a forall (m :: * -> *) a. (MonadMask m, MonadIO m) => Options -> SessionT m a -> m a </span><a href="TensorFlow.Session.html#runSessionWithOptions"><span class="hs-identifier hs-var">runSessionWithOptions</span></a></span><span> </span><span class="annot"><span class="annottext">Options forall a. Default a => a </span><span class="hs-identifier hs-var">def</span></span><span> </span><span id="line-91"></span><span> </span><span id="line-92"></span><span class="hs-comment">-- | Customization for session. Use the lenses to update:</span><span> </span><span id="line-93"></span><span class="hs-comment">-- 'sessionTarget', 'sessionTracer', 'sessionConfig'.</span><span> </span><span id="line-94"></span><span class="hs-keyword">data</span><span> </span><span id="Options"><span class="annot"><a href="TensorFlow.Session.html#Options"><span class="hs-identifier hs-var">Options</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span id="Options"><span class="annot"><a href="TensorFlow.Session.html#Options"><span class="hs-identifier hs-var">Options</span></a></span></span><span> </span><span id="line-95"></span><span> </span><span class="hs-special">{</span><span> </span><span id="_sessionTarget"><span class="annot"><span class="annottext">Options -> ByteString </span><a href="TensorFlow.Session.html#_sessionTarget"><span class="hs-identifier hs-var hs-var">_sessionTarget</span></a></span></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="annot"><span class="hs-identifier hs-type">ByteString</span></span><span> </span><span id="line-96"></span><span> </span><span class="hs-special">,</span><span> </span><span id="_sessionConfig"><span class="annot"><span class="annottext">Options -> ConfigProto </span><a href="TensorFlow.Session.html#_sessionConfig"><span class="hs-identifier hs-var hs-var">_sessionConfig</span></a></span></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="annot"><span class="hs-identifier hs-type">ConfigProto</span></span><span> </span><span id="line-97"></span><span> </span><span class="hs-special">,</span><span> </span><span id="_sessionTracer"><span class="annot"><span class="annottext">Options -> Tracer </span><a href="TensorFlow.Session.html#_sessionTracer"><span class="hs-identifier hs-var hs-var">_sessionTracer</span></a></span></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="annot"><a href="TensorFlow.Session.html#Tracer"><span class="hs-identifier hs-type">Tracer</span></a></span><span> </span><span id="line-98"></span><span> </span><span class="hs-special">}</span><span> </span><span id="line-99"></span><span> </span><span id="line-100"></span><span class="hs-keyword">instance</span><span> </span><span class="annot"><span class="hs-identifier hs-type">Default</span></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#Options"><span class="hs-identifier hs-type">Options</span></a></span><span> </span><span class="hs-keyword">where</span><span> </span><span id="line-101"></span><span> </span><span id="local-6989586621679166686"><span class="annot"><span class="annottext">def :: Options </span><a href="#local-6989586621679166686"><span class="hs-identifier hs-var hs-var hs-var hs-var">def</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">Options :: ByteString -> ConfigProto -> Tracer -> Options </span><a href="TensorFlow.Session.html#Options"><span class="hs-identifier hs-type hs-type">Options</span></a></span><span> </span><span id="line-102"></span><span> </span><span class="hs-special">{</span><span> </span><span class="annot"><span class="annottext">_sessionTarget :: ByteString </span><a href="TensorFlow.Session.html#_sessionTarget"><span class="hs-identifier hs-var">_sessionTarget</span></a></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="hs-string">""</span></span><span> </span><span id="line-103"></span><span> </span><span class="hs-special">,</span><span> </span><span class="annot"><span class="annottext">_sessionConfig :: ConfigProto </span><a href="TensorFlow.Session.html#_sessionConfig"><span class="hs-identifier hs-var">_sessionConfig</span></a></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">ConfigProto forall msg. Message msg => msg </span><span class="hs-identifier hs-var">defMessage</span></span><span> </span><span id="line-104"></span><span> </span><span class="hs-special">,</span><span> </span><span class="annot"><span class="annottext">_sessionTracer :: Tracer </span><a href="TensorFlow.Session.html#_sessionTracer"><span class="hs-identifier hs-var">_sessionTracer</span></a></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">IO () -> Tracer forall a b. a -> b -> a </span><span class="hs-identifier hs-var">const</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">() -> IO () forall (m :: * -> *) a. Monad m => a -> m a </span><span class="hs-identifier hs-var">return</span></span><span> </span><span class="hs-special">(</span><span class="hs-special">)</span><span class="hs-special">)</span><span> </span><span id="line-105"></span><span> </span><span class="hs-special">}</span><span> </span><span id="line-106"></span><span> </span><span id="line-107"></span><span class="hs-comment">-- | Target can be: "local", ip:port, host:port.</span><span> </span><span id="line-108"></span><span class="hs-comment">-- The set of supported factories depends on the linked in libraries.</span><span> </span><span id="line-109"></span><span class="annot"><a href="TensorFlow.Session.html#sessionTarget"><span class="hs-identifier hs-type">sessionTarget</span></a></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="annot"><span class="hs-identifier hs-type">Lens'</span></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#Options"><span class="hs-identifier hs-type">Options</span></a></span><span> </span><span class="annot"><span class="hs-identifier hs-type">ByteString</span></span><span> </span><span id="line-110"></span><span id="sessionTarget"><span class="annot"><span class="annottext">sessionTarget :: LensLike' f Options ByteString </span><a href="TensorFlow.Session.html#sessionTarget"><span class="hs-identifier hs-var hs-var">sessionTarget</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">(Options -> ByteString) -> (Options -> ByteString -> Options) -> Lens Options Options ByteString ByteString forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b </span><span class="hs-identifier hs-var">lens</span></span><span> </span><span class="annot"><span class="annottext">Options -> ByteString </span><a href="TensorFlow.Session.html#_sessionTarget"><span class="hs-identifier hs-var hs-var">_sessionTarget</span></a></span><span> </span><span class="hs-special">(</span><span class="hs-glyph">\</span><span id="local-6989586621679166683"><span class="annot"><span class="annottext">g :: Options </span><a href="#local-6989586621679166683"><span class="hs-identifier hs-var">g</span></a></span></span><span> </span><span id="local-6989586621679166682"><span class="annot"><span class="annottext">x :: ByteString </span><a href="#local-6989586621679166682"><span class="hs-identifier hs-var">x</span></a></span></span><span> </span><span class="hs-glyph">-></span><span> </span><span class="annot"><span class="annottext">Options </span><a href="#local-6989586621679166683"><span class="hs-identifier hs-var">g</span></a></span><span> </span><span class="hs-special">{</span><span> </span><span class="annot"><span class="annottext">_sessionTarget :: ByteString </span><a href="TensorFlow.Session.html#_sessionTarget"><span class="hs-identifier hs-var">_sessionTarget</span></a></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">ByteString </span><a href="#local-6989586621679166682"><span class="hs-identifier hs-var">x</span></a></span><span> </span><span class="hs-special">}</span><span class="hs-special">)</span><span> </span><span id="line-111"></span><span> </span><span id="line-112"></span><span class="hs-comment">-- | Uses the specified config for the created session.</span><span> </span><span id="line-113"></span><span class="annot"><a href="TensorFlow.Session.html#sessionConfig"><span class="hs-identifier hs-type">sessionConfig</span></a></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="annot"><span class="hs-identifier hs-type">Lens'</span></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#Options"><span class="hs-identifier hs-type">Options</span></a></span><span> </span><span class="annot"><span class="hs-identifier hs-type">ConfigProto</span></span><span> </span><span id="line-114"></span><span id="sessionConfig"><span class="annot"><span class="annottext">sessionConfig :: LensLike' f Options ConfigProto </span><a href="TensorFlow.Session.html#sessionConfig"><span class="hs-identifier hs-var hs-var">sessionConfig</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">(Options -> ConfigProto) -> (Options -> ConfigProto -> Options) -> Lens Options Options ConfigProto ConfigProto forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b </span><span class="hs-identifier hs-var">lens</span></span><span> </span><span class="annot"><span class="annottext">Options -> ConfigProto </span><a href="TensorFlow.Session.html#_sessionConfig"><span class="hs-identifier hs-var hs-var">_sessionConfig</span></a></span><span> </span><span class="hs-special">(</span><span class="hs-glyph">\</span><span id="local-6989586621679166681"><span class="annot"><span class="annottext">g :: Options </span><a href="#local-6989586621679166681"><span class="hs-identifier hs-var">g</span></a></span></span><span> </span><span id="local-6989586621679166680"><span class="annot"><span class="annottext">x :: ConfigProto </span><a href="#local-6989586621679166680"><span class="hs-identifier hs-var">x</span></a></span></span><span> </span><span class="hs-glyph">-></span><span> </span><span class="annot"><span class="annottext">Options </span><a href="#local-6989586621679166681"><span class="hs-identifier hs-var">g</span></a></span><span> </span><span class="hs-special">{</span><span> </span><span class="annot"><span class="annottext">_sessionConfig :: ConfigProto </span><a href="TensorFlow.Session.html#_sessionConfig"><span class="hs-identifier hs-var">_sessionConfig</span></a></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">ConfigProto </span><a href="#local-6989586621679166680"><span class="hs-identifier hs-var">x</span></a></span><span> </span><span class="hs-special">}</span><span class="hs-special">)</span><span> </span><span id="line-115"></span><span> </span><span id="line-116"></span><span class="hs-comment">-- | Uses the given logger to monitor session progress.</span><span> </span><span id="line-117"></span><span class="annot"><a href="TensorFlow.Session.html#sessionTracer"><span class="hs-identifier hs-type">sessionTracer</span></a></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="annot"><span class="hs-identifier hs-type">Lens'</span></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#Options"><span class="hs-identifier hs-type">Options</span></a></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#Tracer"><span class="hs-identifier hs-type">Tracer</span></a></span><span> </span><span id="line-118"></span><span id="sessionTracer"><span class="annot"><span class="annottext">sessionTracer :: LensLike' f Options Tracer </span><a href="TensorFlow.Session.html#sessionTracer"><span class="hs-identifier hs-var hs-var">sessionTracer</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">(Options -> Tracer) -> (Options -> Tracer -> Options) -> Lens Options Options Tracer Tracer forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b </span><span class="hs-identifier hs-var">lens</span></span><span> </span><span class="annot"><span class="annottext">Options -> Tracer </span><a href="TensorFlow.Session.html#_sessionTracer"><span class="hs-identifier hs-var hs-var">_sessionTracer</span></a></span><span> </span><span class="hs-special">(</span><span class="hs-glyph">\</span><span id="local-6989586621679166679"><span class="annot"><span class="annottext">g :: Options </span><a href="#local-6989586621679166679"><span class="hs-identifier hs-var">g</span></a></span></span><span> </span><span id="local-6989586621679166678"><span class="annot"><span class="annottext">x :: Tracer </span><a href="#local-6989586621679166678"><span class="hs-identifier hs-var">x</span></a></span></span><span> </span><span class="hs-glyph">-></span><span> </span><span class="annot"><span class="annottext">Options </span><a href="#local-6989586621679166679"><span class="hs-identifier hs-var">g</span></a></span><span> </span><span class="hs-special">{</span><span> </span><span class="annot"><span class="annottext">_sessionTracer :: Tracer </span><a href="TensorFlow.Session.html#_sessionTracer"><span class="hs-identifier hs-var">_sessionTracer</span></a></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">Tracer </span><a href="#local-6989586621679166678"><span class="hs-identifier hs-var">x</span></a></span><span> </span><span class="hs-special">}</span><span class="hs-special">)</span><span> </span><span id="line-119"></span><span> </span><span id="line-120"></span><span class="hs-comment">-- | Run 'Session' actions in a new TensorFlow session created with</span><span> </span><span id="line-121"></span><span class="hs-comment">-- the given option setter actions ('sessionTarget', 'sessionConfig').</span><span> </span><span id="line-122"></span><span id="local-6989586621679166905"><span id="local-6989586621679166906"><span class="annot"><a href="TensorFlow.Session.html#runSessionWithOptions"><span class="hs-identifier hs-type">runSessionWithOptions</span></a></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier hs-type">MonadMask</span></span><span> </span><span class="annot"><a href="#local-6989586621679166906"><span class="hs-identifier hs-type">m</span></a></span><span class="hs-special">,</span><span> </span><span class="annot"><span class="hs-identifier hs-type">MonadIO</span></span><span> </span><span class="annot"><a href="#local-6989586621679166906"><span class="hs-identifier hs-type">m</span></a></span><span class="hs-special">)</span><span> </span><span class="hs-glyph">=></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#Options"><span class="hs-identifier hs-type">Options</span></a></span><span> </span><span class="hs-glyph">-></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#SessionT"><span class="hs-identifier hs-type">SessionT</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166906"><span class="hs-identifier hs-type">m</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166905"><span class="hs-identifier hs-type">a</span></a></span><span> </span><span class="hs-glyph">-></span><span> </span><span class="annot"><a href="#local-6989586621679166906"><span class="hs-identifier hs-type">m</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166905"><span class="hs-identifier hs-type">a</span></a></span></span></span><span> </span><span id="line-123"></span><span id="runSessionWithOptions"><span class="annot"><span class="annottext">runSessionWithOptions :: Options -> SessionT m a -> m a </span><a href="TensorFlow.Session.html#runSessionWithOptions"><span class="hs-identifier hs-var hs-var">runSessionWithOptions</span></a></span></span><span> </span><span id="local-6989586621679166677"><span class="annot"><span class="annottext">options :: Options </span><a href="#local-6989586621679166677"><span class="hs-identifier hs-var">options</span></a></span></span><span> </span><span class="hs-special">(</span><span class="annot"><a href="TensorFlow.Session.html#Session"><span class="hs-identifier hs-type">Session</span></a></span><span> </span><span id="local-6989586621679166676"><span class="annot"><span class="annottext">m :: ReaderT SessionState (BuildT m) a </span><a href="#local-6989586621679166676"><span class="hs-identifier hs-var">m</span></a></span></span><span class="hs-special">)</span><span> </span><span class="hs-glyph">=</span><span> </span><span id="line-124"></span><span> </span><span class="annot"><span class="annottext">(SessionOptions -> IO ()) -> ((IO () -> IO ()) -> Session -> m a) -> m a forall (m :: * -> *) a. (MonadIO m, MonadMask m) => (SessionOptions -> IO ()) -> ((IO () -> IO ()) -> Session -> m a) -> m a </span><a href="TensorFlow.Internal.FFI.html#withSession"><span class="hs-identifier hs-var">FFI.withSession</span></a></span><span> </span><span class="annot"><span class="annottext">SessionOptions -> IO () </span><a href="#local-6989586621679166674"><span class="hs-identifier hs-var">applyOptions</span></a></span><span> </span><span class="annot"><span class="annottext">(((IO () -> IO ()) -> Session -> m a) -> m a) -> ((IO () -> IO ()) -> Session -> m a) -> m a forall a b. (a -> b) -> a -> b </span><span class="hs-operator hs-var">$</span></span><span> </span><span id="line-125"></span><span> </span><span class="hs-glyph">\</span><span id="local-6989586621679166673"><span class="annot"><span class="annottext">as :: IO () -> IO () </span><a href="#local-6989586621679166673"><span class="hs-keyword hs-var">as</span></a></span></span><span> </span><span id="local-6989586621679166672"><span class="annot"><span class="annottext">rs :: Session </span><a href="#local-6989586621679166672"><span class="hs-identifier hs-var">rs</span></a></span></span><span> </span><span class="hs-glyph">-></span><span> </span><span id="line-126"></span><span> </span><span class="hs-keyword">let</span><span> </span><span id="local-6989586621679166671"><span class="annot"><span class="annottext">initState :: SessionState </span><a href="#local-6989586621679166671"><span class="hs-identifier hs-var hs-var">initState</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">Session -> (IO () -> IO ()) -> Tracer -> SessionState </span><a href="TensorFlow.Session.html#SessionState"><span class="hs-identifier hs-var">SessionState</span></a></span><span> </span><span class="annot"><span class="annottext">Session </span><a href="#local-6989586621679166672"><span class="hs-identifier hs-var">rs</span></a></span><span> </span><span class="annot"><span class="annottext">IO () -> IO () </span><a href="#local-6989586621679166673"><span class="hs-keyword hs-var">as</span></a></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">Options </span><a href="#local-6989586621679166677"><span class="hs-identifier hs-var">options</span></a></span><span> </span><span class="annot"><span class="annottext">Options -> FoldLike Tracer Options Options Tracer Tracer -> Tracer forall s a t b. s -> FoldLike a s t a b -> a </span><span class="hs-operator hs-var">^.</span></span><span> </span><span class="annot"><span class="annottext">FoldLike Tracer Options Options Tracer Tracer Lens Options Options Tracer Tracer </span><a href="TensorFlow.Session.html#sessionTracer"><span class="hs-identifier hs-var">sessionTracer</span></a></span><span class="hs-special">)</span><span> </span><span id="line-127"></span><span> </span><span class="hs-keyword">in</span><span> </span><span class="annot"><span class="annottext">BuildT m a -> m a forall (m :: * -> *) a. Monad m => BuildT m a -> m a </span><a href="TensorFlow.Build.html#evalBuildT"><span class="hs-identifier hs-var">evalBuildT</span></a></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">ReaderT SessionState (BuildT m) a -> SessionState -> BuildT m a forall r (m :: * -> *) a. ReaderT r m a -> r -> m a </span><span class="hs-identifier hs-var hs-var">runReaderT</span></span><span> </span><span class="annot"><span class="annottext">ReaderT SessionState (BuildT m) a </span><a href="#local-6989586621679166676"><span class="hs-identifier hs-var">m</span></a></span><span> </span><span class="annot"><span class="annottext">SessionState </span><a href="#local-6989586621679166671"><span class="hs-identifier hs-var">initState</span></a></span><span class="hs-special">)</span><span> </span><span id="line-128"></span><span> </span><span class="hs-keyword">where</span><span> </span><span id="local-6989586621679166674"><span class="annot"><span class="annottext">applyOptions :: SessionOptions -> IO () </span><a href="#local-6989586621679166674"><span class="hs-identifier hs-var hs-var">applyOptions</span></a></span></span><span> </span><span id="local-6989586621679166668"><span class="annot"><span class="annottext">opt :: SessionOptions </span><a href="#local-6989586621679166668"><span class="hs-identifier hs-var">opt</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="hs-keyword">do</span><span> </span><span id="line-129"></span><span> </span><span class="annot"><span class="annottext">ByteString -> SessionOptions -> IO () </span><a href="TensorFlow.Internal.FFI.html#setSessionTarget"><span class="hs-identifier hs-var">FFI.setSessionTarget</span></a></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">Options </span><a href="#local-6989586621679166677"><span class="hs-identifier hs-var">options</span></a></span><span> </span><span class="annot"><span class="annottext">Options -> FoldLike ByteString Options Options ByteString ByteString -> ByteString forall s a t b. s -> FoldLike a s t a b -> a </span><span class="hs-operator hs-var">^.</span></span><span> </span><span class="annot"><span class="annottext">FoldLike ByteString Options Options ByteString ByteString Lens Options Options ByteString ByteString </span><a href="TensorFlow.Session.html#sessionTarget"><span class="hs-identifier hs-var">sessionTarget</span></a></span><span class="hs-special">)</span><span> </span><span class="annot"><span class="annottext">SessionOptions </span><a href="#local-6989586621679166668"><span class="hs-identifier hs-var">opt</span></a></span><span> </span><span id="line-130"></span><span> </span><span class="annot"><span class="annottext">ConfigProto -> SessionOptions -> IO () </span><a href="TensorFlow.Internal.FFI.html#setSessionConfig"><span class="hs-identifier hs-var">FFI.setSessionConfig</span></a></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">Options </span><a href="#local-6989586621679166677"><span class="hs-identifier hs-var">options</span></a></span><span> </span><span class="annot"><span class="annottext">Options -> FoldLike ConfigProto Options Options ConfigProto ConfigProto -> ConfigProto forall s a t b. s -> FoldLike a s t a b -> a </span><span class="hs-operator hs-var">^.</span></span><span> </span><span class="annot"><span class="annottext">FoldLike ConfigProto Options Options ConfigProto ConfigProto Lens Options Options ConfigProto ConfigProto </span><a href="TensorFlow.Session.html#sessionConfig"><span class="hs-identifier hs-var">sessionConfig</span></a></span><span class="hs-special">)</span><span> </span><span class="annot"><span class="annottext">SessionOptions </span><a href="#local-6989586621679166668"><span class="hs-identifier hs-var">opt</span></a></span><span> </span><span id="line-131"></span><span> </span><span id="line-132"></span><span id="local-6989586621679166665"><span class="hs-keyword">instance</span><span> </span><span class="annot"><span class="hs-identifier hs-type">Monad</span></span><span> </span><span class="annot"><a href="#local-6989586621679166665"><span class="hs-identifier hs-type">m</span></a></span><span> </span><span class="hs-glyph">=></span><span> </span><span class="annot"><a href="TensorFlow.Build.html#MonadBuild"><span class="hs-identifier hs-type">MonadBuild</span></a></span><span> </span><span class="hs-special">(</span><span class="annot"><a href="TensorFlow.Session.html#SessionT"><span class="hs-identifier hs-type">SessionT</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166665"><span class="hs-identifier hs-type">m</span></a></span><span class="hs-special">)</span><span> </span><span class="hs-keyword">where</span><span> </span><span id="line-133"></span><span> </span><span id="local-6989586621679166661"><span class="annot"><span class="annottext">build :: Build a -> SessionT m a </span><a href="TensorFlow.Build.html#build"><span class="hs-identifier hs-var hs-var hs-var hs-var">build</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">ReaderT SessionState (BuildT m) a -> SessionT m a forall (m :: * -> *) a. ReaderT SessionState (BuildT m) a -> SessionT m a </span><a href="TensorFlow.Session.html#Session"><span class="hs-identifier hs-var">Session</span></a></span><span> </span><span class="annot"><span class="annottext">(ReaderT SessionState (BuildT m) a -> SessionT m a) -> (Build a -> ReaderT SessionState (BuildT m) a) -> Build a -> SessionT m a forall b c a. (b -> c) -> (a -> b) -> a -> c </span><span class="hs-operator hs-var">.</span></span><span> </span><span class="annot"><span class="annottext">BuildT m a -> ReaderT SessionState (BuildT m) a forall (t :: (* -> *) -> * -> *) (m :: * -> *) a. (MonadTrans t, Monad m) => m a -> t m a </span><span class="hs-identifier hs-var">lift</span></span><span> </span><span class="annot"><span class="annottext">(BuildT m a -> ReaderT SessionState (BuildT m) a) -> (Build a -> BuildT m a) -> Build a -> ReaderT SessionState (BuildT m) a forall b c a. (b -> c) -> (a -> b) -> a -> c </span><span class="hs-operator hs-var">.</span></span><span> </span><span class="annot"><span class="annottext">Build a -> BuildT m a forall (m :: * -> *) a. MonadBuild m => Build a -> m a </span><a href="TensorFlow.Build.html#build"><span class="hs-identifier hs-var">build</span></a></span></span><span> </span><span id="line-134"></span><span> </span><span id="line-135"></span><span class="hs-comment">-- | Add all pending rendered nodes to the TensorFlow graph and runs</span><span> </span><span id="line-136"></span><span class="hs-comment">-- any pending initializers.</span><span> </span><span id="line-137"></span><span class="hs-comment">--</span><span> </span><span id="line-138"></span><span class="hs-comment">-- Note that run, runWithFeeds, etc. will all call this function implicitly.</span><span> </span><span id="line-139"></span><span id="local-6989586621679166809"><span class="annot"><a href="TensorFlow.Session.html#extend"><span class="hs-identifier hs-type">extend</span></a></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="annot"><span class="hs-identifier hs-type">MonadIO</span></span><span> </span><span class="annot"><a href="#local-6989586621679166809"><span class="hs-identifier hs-type">m</span></a></span><span> </span><span class="hs-glyph">=></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#SessionT"><span class="hs-identifier hs-type">SessionT</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166809"><span class="hs-identifier hs-type">m</span></a></span><span> </span><span class="hs-special">(</span><span class="hs-special">)</span></span><span> </span><span id="line-140"></span><span id="extend"><span class="annot"><span class="annottext">extend :: SessionT m () </span><a href="TensorFlow.Session.html#extend"><span class="hs-identifier hs-var hs-var">extend</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="hs-keyword">do</span><span> </span><span id="line-141"></span><span> </span><span id="local-6989586621679166659"><span class="annot"><span class="annottext">Session </span><a href="#local-6989586621679166659"><span class="hs-identifier hs-var">session</span></a></span></span><span> </span><span class="hs-glyph"><-</span><span> </span><span class="annot"><span class="annottext">ReaderT SessionState (BuildT m) Session -> SessionT m Session forall (m :: * -> *) a. ReaderT SessionState (BuildT m) a -> SessionT m a </span><a href="TensorFlow.Session.html#Session"><span class="hs-identifier hs-var">Session</span></a></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">(SessionState -> Session) -> ReaderT SessionState (BuildT m) Session forall (m :: * -> *) r a. Monad m => (r -> a) -> ReaderT r m a </span><span class="hs-identifier hs-var">asks</span></span><span> </span><span class="annot"><span class="annottext">SessionState -> Session </span><a href="TensorFlow.Session.html#rawSession"><span class="hs-identifier hs-var hs-var">rawSession</span></a></span><span class="hs-special">)</span><span> </span><span id="line-142"></span><span> </span><span id="local-6989586621679166658"><span class="annot"><span class="annottext">Tracer </span><a href="#local-6989586621679166658"><span class="hs-identifier hs-var">trace</span></a></span></span><span> </span><span class="hs-glyph"><-</span><span> </span><span class="annot"><span class="annottext">ReaderT SessionState (BuildT m) Tracer -> SessionT m Tracer forall (m :: * -> *) a. ReaderT SessionState (BuildT m) a -> SessionT m a </span><a href="TensorFlow.Session.html#Session"><span class="hs-identifier hs-var">Session</span></a></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">(SessionState -> Tracer) -> ReaderT SessionState (BuildT m) Tracer forall (m :: * -> *) r a. Monad m => (r -> a) -> ReaderT r m a </span><span class="hs-identifier hs-var">asks</span></span><span> </span><span class="annot"><span class="annottext">SessionState -> Tracer </span><a href="TensorFlow.Session.html#tracer"><span class="hs-identifier hs-var hs-var">tracer</span></a></span><span class="hs-special">)</span><span> </span><span id="line-143"></span><span> </span><span id="local-6989586621679166657"><span class="annot"><span class="annottext">[NodeDef] </span><a href="#local-6989586621679166657"><span class="hs-identifier hs-var">nodesToExtend</span></a></span></span><span> </span><span class="hs-glyph"><-</span><span> </span><span class="annot"><span class="annottext">Build [NodeDef] -> SessionT m [NodeDef] forall (m :: * -> *) a. MonadBuild m => Build a -> m a </span><a href="TensorFlow.Build.html#build"><span class="hs-identifier hs-var">build</span></a></span><span> </span><span class="annot"><span class="annottext">Build [NodeDef] forall (m :: * -> *). MonadBuild m => m [NodeDef] </span><a href="TensorFlow.Build.html#flushNodeBuffer"><span class="hs-identifier hs-var">flushNodeBuffer</span></a></span><span> </span><span id="line-144"></span><span> </span><span class="annot"><span class="annottext">Bool -> SessionT m () -> SessionT m () forall (f :: * -> *). Applicative f => Bool -> f () -> f () </span><span class="hs-identifier hs-var">unless</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">[NodeDef] -> Bool forall (t :: * -> *) a. Foldable t => t a -> Bool </span><span class="hs-identifier hs-var">null</span></span><span> </span><span class="annot"><span class="annottext">[NodeDef] </span><a href="#local-6989586621679166657"><span class="hs-identifier hs-var">nodesToExtend</span></a></span><span class="hs-special">)</span><span> </span><span class="annot"><span class="annottext">(SessionT m () -> SessionT m ()) -> SessionT m () -> SessionT m () forall a b. (a -> b) -> a -> b </span><span class="hs-operator hs-var">$</span></span><span> </span><span class="annot"><span class="annottext">IO () -> SessionT m () forall (m :: * -> *) a. MonadIO m => IO a -> m a </span><span class="hs-identifier hs-var">liftIO</span></span><span> </span><span class="annot"><span class="annottext">(IO () -> SessionT m ()) -> IO () -> SessionT m () forall a b. (a -> b) -> a -> b </span><span class="hs-operator hs-var">$</span></span><span> </span><span class="hs-keyword">do</span><span> </span><span id="line-145"></span><span> </span><span class="hs-keyword">let</span><span> </span><span id="local-6989586621679166654"><span class="annot"><span class="annottext">graphDef :: GraphDef </span><a href="#local-6989586621679166654"><span class="hs-identifier hs-var hs-var">graphDef</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">GraphDef forall msg. Message msg => msg </span><span class="hs-identifier hs-var">defMessage</span></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="annot"><span class="hs-identifier hs-type">GraphDef</span></span><span class="hs-special">)</span><span> </span><span class="annot"><span class="annottext">GraphDef -> (GraphDef -> GraphDef) -> GraphDef forall s t. s -> (s -> t) -> t </span><span class="hs-operator hs-var">&</span></span><span> </span><span class="annot"><span class="annottext">forall (f :: * -> *). Identical f => LensLike' f GraphDef [NodeDef] forall (f :: * -> *) s a. (Functor f, HasField s "node" a) => LensLike' f s a </span><span class="hs-identifier hs-var">node</span></span><span> </span><span class="annot"><span class="annottext">(forall (f :: * -> *). Identical f => LensLike' f GraphDef [NodeDef]) -> [NodeDef] -> GraphDef -> GraphDef forall s t a b. Setter s t a b -> b -> s -> t </span><span class="hs-operator hs-var">.~</span></span><span> </span><span class="annot"><span class="annottext">[NodeDef] </span><a href="#local-6989586621679166657"><span class="hs-identifier hs-var">nodesToExtend</span></a></span><span> </span><span id="line-146"></span><span> </span><span class="annot"><span class="annottext">Tracer </span><a href="#local-6989586621679166658"><span class="hs-identifier hs-var">trace</span></a></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-string">"Session.extend "</span></span><span> </span><span class="annot"><span class="annottext">Builder -> Builder -> Builder forall a. Semigroup a => a -> a -> a </span><span class="hs-operator hs-var"><></span></span><span> </span><span class="annot"><span class="annottext">String -> Builder </span><span class="hs-identifier hs-var">Builder.string8</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">GraphDef -> String forall msg. Message msg => msg -> String </span><span class="hs-identifier hs-var">showMessage</span></span><span> </span><span class="annot"><span class="annottext">GraphDef </span><a href="#local-6989586621679166654"><span class="hs-identifier hs-var">graphDef</span></a></span><span class="hs-special">)</span><span class="hs-special">)</span><span> </span><span id="line-147"></span><span> </span><span class="annot"><span class="annottext">Session -> GraphDef -> IO () </span><a href="TensorFlow.Internal.FFI.html#extendGraph"><span class="hs-identifier hs-var">FFI.extendGraph</span></a></span><span> </span><span class="annot"><span class="annottext">Session </span><a href="#local-6989586621679166659"><span class="hs-identifier hs-var">session</span></a></span><span> </span><span class="annot"><span class="annottext">GraphDef </span><a href="#local-6989586621679166654"><span class="hs-identifier hs-var">graphDef</span></a></span><span> </span><span id="line-148"></span><span> </span><span class="hs-comment">-- Now that all the nodes are created, run the initializers.</span><span> </span><span id="line-149"></span><span> </span><span id="local-6989586621679166651"><span class="annot"><span class="annottext">[NodeName] </span><a href="#local-6989586621679166651"><span class="hs-identifier hs-var">initializers</span></a></span></span><span> </span><span class="hs-glyph"><-</span><span> </span><span class="annot"><span class="annottext">Build [NodeName] -> SessionT m [NodeName] forall (m :: * -> *) a. MonadBuild m => Build a -> m a </span><a href="TensorFlow.Build.html#build"><span class="hs-identifier hs-var">build</span></a></span><span> </span><span class="annot"><span class="annottext">Build [NodeName] forall (m :: * -> *). Monad m => BuildT m [NodeName] </span><a href="TensorFlow.Build.html#flushInitializers"><span class="hs-identifier hs-var">flushInitializers</span></a></span><span> </span><span id="line-150"></span><span> </span><span class="annot"><span class="annottext">Bool -> SessionT m () -> SessionT m () forall (f :: * -> *). Applicative f => Bool -> f () -> f () </span><span class="hs-identifier hs-var">unless</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">[NodeName] -> Bool forall (t :: * -> *) a. Foldable t => t a -> Bool </span><span class="hs-identifier hs-var">null</span></span><span> </span><span class="annot"><span class="annottext">[NodeName] </span><a href="#local-6989586621679166651"><span class="hs-identifier hs-var">initializers</span></a></span><span class="hs-special">)</span><span> </span><span class="annot"><span class="annottext">(SessionT m () -> SessionT m ()) -> SessionT m () -> SessionT m () forall a b. (a -> b) -> a -> b </span><span class="hs-operator hs-var">$</span></span><span> </span><span id="line-151"></span><span> </span><span class="annot"><span class="annottext">SessionT m [TensorData] -> SessionT m () forall (f :: * -> *) a. Functor f => f a -> f () </span><span class="hs-identifier hs-var">void</span></span><span> </span><span class="annot"><span class="annottext">(SessionT m [TensorData] -> SessionT m ()) -> SessionT m [TensorData] -> SessionT m () forall a b. (a -> b) -> a -> b </span><span class="hs-operator hs-var">$</span></span><span> </span><span class="annot"><span class="annottext">IO [TensorData] -> SessionT m [TensorData] forall (m :: * -> *) a. MonadIO m => IO a -> m a </span><span class="hs-identifier hs-var">liftIO</span></span><span> </span><span class="annot"><span class="annottext">(IO [TensorData] -> SessionT m [TensorData]) -> IO [TensorData] -> SessionT m [TensorData] forall a b. (a -> b) -> a -> b </span><span class="hs-operator hs-var">$</span></span><span> </span><span class="annot"><span class="annottext">Session -> [(ByteString, TensorData)] -> [ByteString] -> [ByteString] -> IO [TensorData] </span><a href="TensorFlow.Internal.FFI.html#run"><span class="hs-identifier hs-var">FFI.run</span></a></span><span> </span><span class="annot"><span class="annottext">Session </span><a href="#local-6989586621679166659"><span class="hs-identifier hs-var">session</span></a></span><span> </span><span class="hs-special">[</span><span class="hs-special">]</span><span> </span><span class="hs-special">[</span><span class="hs-special">]</span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">[NodeName] -> [ByteString] </span><a href="TensorFlow.Session.html#toNodeNames"><span class="hs-identifier hs-var">toNodeNames</span></a></span><span> </span><span class="annot"><span class="annottext">[NodeName] </span><a href="#local-6989586621679166651"><span class="hs-identifier hs-var">initializers</span></a></span><span class="hs-special">)</span><span> </span><span id="line-152"></span><span> </span><span id="line-153"></span><span class="hs-comment">-- | Run a subgraph 't', rendering any dependent nodes that aren't already</span><span> </span><span id="line-154"></span><span class="hs-comment">-- rendered, and fetch the corresponding values for 'a'.</span><span> </span><span id="line-155"></span><span id="local-6989586621679166645"><span id="local-6989586621679166646"><span id="local-6989586621679166647"><span class="annot"><a href="TensorFlow.Session.html#run"><span class="hs-identifier hs-type">run</span></a></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier hs-type">MonadIO</span></span><span> </span><span class="annot"><a href="#local-6989586621679166647"><span class="hs-identifier hs-type">m</span></a></span><span class="hs-special">,</span><span> </span><span class="annot"><a href="TensorFlow.Nodes.html#Fetchable"><span class="hs-identifier hs-type">Fetchable</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166646"><span class="hs-identifier hs-type">t</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166645"><span class="hs-identifier hs-type">a</span></a></span><span class="hs-special">)</span><span> </span><span class="hs-glyph">=></span><span> </span><span class="annot"><a href="#local-6989586621679166646"><span class="hs-identifier hs-type">t</span></a></span><span> </span><span class="hs-glyph">-></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#SessionT"><span class="hs-identifier hs-type">SessionT</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166647"><span class="hs-identifier hs-type">m</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166645"><span class="hs-identifier hs-type">a</span></a></span></span></span></span><span> </span><span id="line-156"></span><span id="run"><span class="annot"><span class="annottext">run :: t -> SessionT m a </span><a href="TensorFlow.Session.html#run"><span class="hs-identifier hs-var hs-var">run</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">[Feed] -> t -> SessionT m a forall (m :: * -> *) t a. (MonadIO m, Fetchable t a) => [Feed] -> t -> SessionT m a </span><a href="TensorFlow.Session.html#runWithFeeds"><span class="hs-identifier hs-var">runWithFeeds</span></a></span><span> </span><span class="hs-special">[</span><span class="hs-special">]</span><span> </span><span id="line-157"></span><span> </span><span id="line-158"></span><span class="hs-comment">-- | Run a subgraph 't', rendering any dependent nodes that aren't already</span><span> </span><span id="line-159"></span><span class="hs-comment">-- rendered, feed the given input values, and fetch the corresponding result</span><span> </span><span id="line-160"></span><span class="hs-comment">-- values for 'a'.</span><span> </span><span id="line-161"></span><span id="local-6989586621679166826"><span id="local-6989586621679166827"><span id="local-6989586621679166828"><span class="annot"><a href="TensorFlow.Session.html#runWithFeeds"><span class="hs-identifier hs-type">runWithFeeds</span></a></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier hs-type">MonadIO</span></span><span> </span><span class="annot"><a href="#local-6989586621679166828"><span class="hs-identifier hs-type">m</span></a></span><span class="hs-special">,</span><span> </span><span class="annot"><a href="TensorFlow.Nodes.html#Fetchable"><span class="hs-identifier hs-type">Fetchable</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166827"><span class="hs-identifier hs-type">t</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166826"><span class="hs-identifier hs-type">a</span></a></span><span class="hs-special">)</span><span> </span><span class="hs-glyph">=></span><span> </span><span class="hs-special">[</span><span class="annot"><a href="TensorFlow.Tensor.html#Feed"><span class="hs-identifier hs-type">Feed</span></a></span><span class="hs-special">]</span><span> </span><span class="hs-glyph">-></span><span> </span><span class="annot"><a href="#local-6989586621679166827"><span class="hs-identifier hs-type">t</span></a></span><span> </span><span class="hs-glyph">-></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#SessionT"><span class="hs-identifier hs-type">SessionT</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166828"><span class="hs-identifier hs-type">m</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166826"><span class="hs-identifier hs-type">a</span></a></span></span></span></span><span> </span><span id="line-162"></span><span id="runWithFeeds"><span class="annot"><span class="annottext">runWithFeeds :: [Feed] -> t -> SessionT m a </span><a href="TensorFlow.Session.html#runWithFeeds"><span class="hs-identifier hs-var hs-var">runWithFeeds</span></a></span></span><span> </span><span id="local-6989586621679166644"><span class="annot"><span class="annottext">feeds :: [Feed] </span><a href="#local-6989586621679166644"><span class="hs-identifier hs-var">feeds</span></a></span></span><span> </span><span id="local-6989586621679166643"><span class="annot"><span class="annottext">t :: t </span><a href="#local-6989586621679166643"><span class="hs-identifier hs-var">t</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="hs-keyword">do</span><span> </span><span id="line-163"></span><span> </span><span id="local-6989586621679166642"><span class="annot"><span class="annottext">Set NodeName </span><a href="#local-6989586621679166642"><span class="hs-identifier hs-var">ns</span></a></span></span><span> </span><span class="hs-glyph"><-</span><span> </span><span class="annot"><span class="annottext">Build (Set NodeName) -> SessionT m (Set NodeName) forall (m :: * -> *) a. MonadBuild m => Build a -> m a </span><a href="TensorFlow.Build.html#build"><span class="hs-identifier hs-var">build</span></a></span><span> </span><span class="annot"><span class="annottext">(Build (Set NodeName) -> SessionT m (Set NodeName)) -> Build (Set NodeName) -> SessionT m (Set NodeName) forall a b. (a -> b) -> a -> b </span><span class="hs-operator hs-var">$</span></span><span> </span><span class="annot"><span class="annottext">t -> Build (Set NodeName) forall t. Nodes t => t -> Build (Set NodeName) </span><a href="TensorFlow.Nodes.html#getNodes"><span class="hs-identifier hs-var">getNodes</span></a></span><span> </span><span class="annot"><span class="annottext">t </span><a href="#local-6989586621679166643"><span class="hs-identifier hs-var">t</span></a></span><span> </span><span id="line-164"></span><span> </span><span class="hs-comment">-- Note that this call to "fetch" shouldn't affect the following "extend"</span><span> </span><span id="line-165"></span><span> </span><span class="hs-comment">-- call, since all nodes in t and its inputs/deps will be rendered by the</span><span> </span><span id="line-166"></span><span> </span><span class="hs-comment">-- above call to getNodes.</span><span> </span><span id="line-167"></span><span> </span><span id="local-6989586621679166640"><span class="annot"><span class="annottext">Fetch a </span><a href="#local-6989586621679166640"><span class="hs-identifier hs-var">fetch</span></a></span></span><span> </span><span class="hs-glyph"><-</span><span> </span><span class="annot"><span class="annottext">Build (Fetch a) -> SessionT m (Fetch a) forall (m :: * -> *) a. MonadBuild m => Build a -> m a </span><a href="TensorFlow.Build.html#build"><span class="hs-identifier hs-var">build</span></a></span><span> </span><span class="annot"><span class="annottext">(Build (Fetch a) -> SessionT m (Fetch a)) -> Build (Fetch a) -> SessionT m (Fetch a) forall a b. (a -> b) -> a -> b </span><span class="hs-operator hs-var">$</span></span><span> </span><span class="annot"><span class="annottext">t -> Build (Fetch a) forall t a. Fetchable t a => t -> Build (Fetch a) </span><a href="TensorFlow.Nodes.html#getFetch"><span class="hs-identifier hs-var">getFetch</span></a></span><span> </span><span class="annot"><span class="annottext">t </span><a href="#local-6989586621679166643"><span class="hs-identifier hs-var">t</span></a></span><span> </span><span id="line-168"></span><span> </span><span class="annot"><span class="annottext">[Feed] -> Set NodeName -> Fetch a -> SessionT m a forall (m :: * -> *) a. MonadIO m => [Feed] -> Set NodeName -> Fetch a -> SessionT m a </span><a href="TensorFlow.Session.html#runFetchWithFeeds"><span class="hs-identifier hs-var">runFetchWithFeeds</span></a></span><span> </span><span class="annot"><span class="annottext">[Feed] </span><a href="#local-6989586621679166644"><span class="hs-identifier hs-var">feeds</span></a></span><span> </span><span class="annot"><span class="annottext">Set NodeName </span><a href="#local-6989586621679166642"><span class="hs-identifier hs-var">ns</span></a></span><span> </span><span class="annot"><span class="annottext">Fetch a </span><a href="#local-6989586621679166640"><span class="hs-identifier hs-var">fetch</span></a></span><span> </span><span id="line-169"></span><span> </span><span id="line-170"></span><span id="local-6989586621679166814"><span id="local-6989586621679166815"><span class="annot"><a href="TensorFlow.Session.html#runFetchWithFeeds"><span class="hs-identifier hs-type">runFetchWithFeeds</span></a></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="annot"><span class="hs-identifier hs-type">MonadIO</span></span><span> </span><span class="annot"><a href="#local-6989586621679166815"><span class="hs-identifier hs-type">m</span></a></span><span> </span><span class="hs-glyph">=></span><span> </span><span class="hs-special">[</span><span class="annot"><a href="TensorFlow.Tensor.html#Feed"><span class="hs-identifier hs-type">Feed</span></a></span><span class="hs-special">]</span><span> </span><span class="hs-glyph">-></span><span> </span><span class="annot"><span class="hs-identifier hs-type">Set</span></span><span> </span><span class="annot"><a href="TensorFlow.Output.html#NodeName"><span class="hs-identifier hs-type">NodeName</span></a></span><span> </span><span class="hs-glyph">-></span><span> </span><span class="annot"><a href="TensorFlow.Nodes.html#Fetch"><span class="hs-identifier hs-type">Fetch</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166814"><span class="hs-identifier hs-type">a</span></a></span><span> </span><span class="hs-glyph">-></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#SessionT"><span class="hs-identifier hs-type">SessionT</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166815"><span class="hs-identifier hs-type">m</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166814"><span class="hs-identifier hs-type">a</span></a></span></span></span><span> </span><span id="line-171"></span><span id="runFetchWithFeeds"><span class="annot"><span class="annottext">runFetchWithFeeds :: [Feed] -> Set NodeName -> Fetch a -> SessionT m a </span><a href="TensorFlow.Session.html#runFetchWithFeeds"><span class="hs-identifier hs-var hs-var">runFetchWithFeeds</span></a></span></span><span> </span><span id="local-6989586621679166637"><span class="annot"><span class="annottext">feeds :: [Feed] </span><a href="#local-6989586621679166637"><span class="hs-identifier hs-var">feeds</span></a></span></span><span> </span><span id="local-6989586621679166636"><span class="annot"><span class="annottext">target :: Set NodeName </span><a href="#local-6989586621679166636"><span class="hs-identifier hs-var">target</span></a></span></span><span> </span><span class="hs-special">(</span><span class="annot"><a href="TensorFlow.Nodes.html#Fetch"><span class="hs-identifier hs-type">Fetch</span></a></span><span> </span><span id="local-6989586621679166634"><span class="annot"><span class="annottext">fetch :: Set Text </span><a href="#local-6989586621679166634"><span class="hs-identifier hs-var">fetch</span></a></span></span><span> </span><span id="local-6989586621679166633"><span class="annot"><span class="annottext">restore :: Map Text TensorData -> a </span><a href="#local-6989586621679166633"><span class="hs-identifier hs-var">restore</span></a></span></span><span class="hs-special">)</span><span> </span><span class="hs-glyph">=</span><span> </span><span class="hs-keyword">do</span><span> </span><span id="line-172"></span><span> </span><span class="annot"><span class="annottext">SessionT m () forall (m :: * -> *). MonadIO m => SessionT m () </span><a href="TensorFlow.Session.html#extend"><span class="hs-identifier hs-var">extend</span></a></span><span> </span><span id="line-173"></span><span> </span><span class="hs-keyword">let</span><span> </span><span id="local-6989586621679166632"><span class="annot"><span class="annottext">feeds' :: [(ByteString, TensorData)] </span><a href="#local-6989586621679166632"><span class="hs-identifier hs-var hs-var">feeds'</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">[Feed] -> [(ByteString, TensorData)] </span><a href="TensorFlow.Session.html#fixFeeds"><span class="hs-identifier hs-var">fixFeeds</span></a></span><span> </span><span class="annot"><span class="annottext">[Feed] </span><a href="#local-6989586621679166637"><span class="hs-identifier hs-var">feeds</span></a></span><span> </span><span id="line-174"></span><span> </span><span class="hs-keyword">let</span><span> </span><span id="local-6989586621679166630"><span class="annot"><span class="annottext">fetchNames :: [ByteString] </span><a href="#local-6989586621679166630"><span class="hs-identifier hs-var hs-var">fetchNames</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">Text -> ByteString </span><span class="hs-identifier hs-var">encodeUtf8</span></span><span> </span><span class="annot"><span class="annottext">(Text -> ByteString) -> [Text] -> [ByteString] forall (f :: * -> *) a b. Functor f => (a -> b) -> f a -> f b </span><span class="hs-operator hs-var"><$></span></span><span> </span><span class="annot"><span class="annottext">Set Text -> [Text] forall a. Set a -> [a] </span><span class="hs-identifier hs-var">Set.toList</span></span><span> </span><span class="annot"><span class="annottext">Set Text </span><a href="#local-6989586621679166634"><span class="hs-identifier hs-var">fetch</span></a></span><span> </span><span id="line-175"></span><span> </span><span id="local-6989586621679166627"><span class="annot"><span class="annottext">targetNames :: [ByteString] </span><a href="#local-6989586621679166627"><span class="hs-identifier hs-var hs-var">targetNames</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">[NodeName] -> [ByteString] </span><a href="TensorFlow.Session.html#toNodeNames"><span class="hs-identifier hs-var">toNodeNames</span></a></span><span> </span><span class="annot"><span class="annottext">([NodeName] -> [ByteString]) -> [NodeName] -> [ByteString] forall a b. (a -> b) -> a -> b </span><span class="hs-operator hs-var">$</span></span><span> </span><span class="annot"><span class="annottext">Set NodeName -> [NodeName] forall a. Set a -> [a] </span><span class="hs-identifier hs-var">Set.toList</span></span><span> </span><span class="annot"><span class="annottext">Set NodeName </span><a href="#local-6989586621679166636"><span class="hs-identifier hs-var">target</span></a></span><span> </span><span id="line-176"></span><span> </span><span id="local-6989586621679166626"><span class="annot"><span class="annottext">Session </span><a href="#local-6989586621679166626"><span class="hs-identifier hs-var">session</span></a></span></span><span> </span><span class="hs-glyph"><-</span><span> </span><span class="annot"><span class="annottext">ReaderT SessionState (BuildT m) Session -> SessionT m Session forall (m :: * -> *) a. ReaderT SessionState (BuildT m) a -> SessionT m a </span><a href="TensorFlow.Session.html#Session"><span class="hs-identifier hs-var">Session</span></a></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">(SessionState -> Session) -> ReaderT SessionState (BuildT m) Session forall (m :: * -> *) r a. Monad m => (r -> a) -> ReaderT r m a </span><span class="hs-identifier hs-var">asks</span></span><span> </span><span class="annot"><span class="annottext">SessionState -> Session </span><a href="TensorFlow.Session.html#rawSession"><span class="hs-identifier hs-var hs-var">rawSession</span></a></span><span class="hs-special">)</span><span> </span><span id="line-177"></span><span> </span><span id="local-6989586621679166625"><span class="annot"><span class="annottext">[TensorData] </span><a href="#local-6989586621679166625"><span class="hs-identifier hs-var">runResult</span></a></span></span><span> </span><span class="hs-glyph"><-</span><span> </span><span class="annot"><span class="annottext">IO [TensorData] -> SessionT m [TensorData] forall (m :: * -> *) a. MonadIO m => IO a -> m a </span><span class="hs-identifier hs-var">liftIO</span></span><span> </span><span class="annot"><span class="annottext">(IO [TensorData] -> SessionT m [TensorData]) -> IO [TensorData] -> SessionT m [TensorData] forall a b. (a -> b) -> a -> b </span><span class="hs-operator hs-var">$</span></span><span> </span><span class="annot"><span class="annottext">Session -> [(ByteString, TensorData)] -> [ByteString] -> [ByteString] -> IO [TensorData] </span><a href="TensorFlow.Internal.FFI.html#run"><span class="hs-identifier hs-var">FFI.run</span></a></span><span> </span><span class="annot"><span class="annottext">Session </span><a href="#local-6989586621679166626"><span class="hs-identifier hs-var">session</span></a></span><span> </span><span id="line-178"></span><span> </span><span class="annot"><span class="annottext">[(ByteString, TensorData)] </span><a href="#local-6989586621679166632"><span class="hs-identifier hs-var">feeds'</span></a></span><span> </span><span id="line-179"></span><span> </span><span class="annot"><span class="annottext">[ByteString] </span><a href="#local-6989586621679166630"><span class="hs-identifier hs-var">fetchNames</span></a></span><span> </span><span id="line-180"></span><span> </span><span class="annot"><span class="annottext">[ByteString] </span><a href="#local-6989586621679166627"><span class="hs-identifier hs-var">targetNames</span></a></span><span> </span><span id="line-181"></span><span> </span><span class="hs-keyword">let</span><span> </span><span id="local-6989586621679166624"><span class="annot"><span class="annottext">resultTensorsMap :: Map Text TensorData </span><a href="#local-6989586621679166624"><span class="hs-identifier hs-var hs-var">resultTensorsMap</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">[(Text, TensorData)] -> Map Text TensorData forall k a. Ord k => [(k, a)] -> Map k a </span><span class="hs-identifier hs-var">Map.fromList</span></span><span> </span><span class="annot"><span class="annottext">([(Text, TensorData)] -> Map Text TensorData) -> [(Text, TensorData)] -> Map Text TensorData forall a b. (a -> b) -> a -> b </span><span class="hs-operator hs-var">$</span></span><span> </span><span class="annot"><span class="annottext">[Text] -> [TensorData] -> [(Text, TensorData)] forall a b. [a] -> [b] -> [(a, b)] </span><span class="hs-identifier hs-var">zip</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">Set Text -> [Text] forall a. Set a -> [a] </span><span class="hs-identifier hs-var">Set.toList</span></span><span> </span><span class="annot"><span class="annottext">Set Text </span><a href="#local-6989586621679166634"><span class="hs-identifier hs-var">fetch</span></a></span><span class="hs-special">)</span><span> </span><span class="annot"><span class="annottext">[TensorData] </span><a href="#local-6989586621679166625"><span class="hs-identifier hs-var">runResult</span></a></span><span> </span><span id="line-182"></span><span> </span><span class="annot"><span class="annottext">a -> SessionT m a forall (m :: * -> *) a. Monad m => a -> m a </span><span class="hs-identifier hs-var">return</span></span><span> </span><span class="annot"><span class="annottext">(a -> SessionT m a) -> a -> SessionT m a forall a b. (a -> b) -> a -> b </span><span class="hs-operator hs-var">$</span></span><span> </span><span class="annot"><span class="annottext">Map Text TensorData -> a </span><a href="#local-6989586621679166633"><span class="hs-identifier hs-var">restore</span></a></span><span> </span><span class="annot"><span class="annottext">Map Text TensorData </span><a href="#local-6989586621679166624"><span class="hs-identifier hs-var">resultTensorsMap</span></a></span><span> </span><span id="line-183"></span><span> </span><span id="line-184"></span><span class="annot"><a href="TensorFlow.Session.html#toNodeNames"><span class="hs-identifier hs-type">toNodeNames</span></a></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="hs-special">[</span><span class="annot"><a href="TensorFlow.Output.html#NodeName"><span class="hs-identifier hs-type">NodeName</span></a></span><span class="hs-special">]</span><span> </span><span class="hs-glyph">-></span><span> </span><span class="hs-special">[</span><span class="annot"><span class="hs-identifier hs-type">ByteString</span></span><span class="hs-special">]</span><span> </span><span id="line-185"></span><span id="toNodeNames"><span class="annot"><span class="annottext">toNodeNames :: [NodeName] -> [ByteString] </span><a href="TensorFlow.Session.html#toNodeNames"><span class="hs-identifier hs-var hs-var">toNodeNames</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">(NodeName -> ByteString) -> [NodeName] -> [ByteString] forall a b. (a -> b) -> [a] -> [b] </span><span class="hs-identifier hs-var">map</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">Text -> ByteString </span><span class="hs-identifier hs-var">encodeUtf8</span></span><span> </span><span class="annot"><span class="annottext">(Text -> ByteString) -> (NodeName -> Text) -> NodeName -> ByteString forall b c a. (b -> c) -> (a -> b) -> a -> c </span><span class="hs-operator hs-var">.</span></span><span> </span><span class="annot"><span class="annottext">NodeName -> Text </span><a href="TensorFlow.Output.html#unNodeName"><span class="hs-identifier hs-var hs-var">unNodeName</span></a></span><span class="hs-special">)</span><span> </span><span id="line-186"></span><span> </span><span id="line-187"></span><span class="hs-comment">-- | Run a subgraph 't', rendering and extending any dependent nodes that aren't</span><span> </span><span id="line-188"></span><span class="hs-comment">-- already rendered. This behaves like 'run' except that it doesn't do any</span><span> </span><span id="line-189"></span><span class="hs-comment">-- fetches.</span><span> </span><span id="line-190"></span><span id="local-6989586621679166621"><span id="local-6989586621679166622"><span class="annot"><a href="TensorFlow.Session.html#run_"><span class="hs-identifier hs-type">run_</span></a></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier hs-type">MonadIO</span></span><span> </span><span class="annot"><a href="#local-6989586621679166622"><span class="hs-identifier hs-type">m</span></a></span><span class="hs-special">,</span><span> </span><span class="annot"><a href="TensorFlow.Nodes.html#Nodes"><span class="hs-identifier hs-type">Nodes</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166621"><span class="hs-identifier hs-type">t</span></a></span><span class="hs-special">)</span><span> </span><span class="hs-glyph">=></span><span> </span><span class="annot"><a href="#local-6989586621679166621"><span class="hs-identifier hs-type">t</span></a></span><span> </span><span class="hs-glyph">-></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#SessionT"><span class="hs-identifier hs-type">SessionT</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166622"><span class="hs-identifier hs-type">m</span></a></span><span> </span><span class="hs-special">(</span><span class="hs-special">)</span></span></span><span> </span><span id="line-191"></span><span id="run_"><span class="annot"><span class="annottext">run_ :: t -> SessionT m () </span><a href="TensorFlow.Session.html#run_"><span class="hs-identifier hs-var hs-var">run_</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">[Feed] -> t -> SessionT m () forall (m :: * -> *) t. (MonadIO m, Nodes t) => [Feed] -> t -> SessionT m () </span><a href="TensorFlow.Session.html#runWithFeeds_"><span class="hs-identifier hs-var">runWithFeeds_</span></a></span><span> </span><span class="hs-special">[</span><span class="hs-special">]</span><span> </span><span id="line-192"></span><span> </span><span id="line-193"></span><span class="hs-comment">-- | Run a subgraph 't', rendering any dependent nodes that aren't already</span><span> </span><span id="line-194"></span><span class="hs-comment">-- rendered, feed the given input values, and fetch the corresponding result</span><span> </span><span id="line-195"></span><span class="hs-comment">-- values for 'a'. This behaves like 'runWithFeeds' except that it doesn't do</span><span> </span><span id="line-196"></span><span class="hs-comment">-- any fetches.</span><span> </span><span id="line-197"></span><span id="local-6989586621679166795"><span id="local-6989586621679166796"><span class="annot"><a href="TensorFlow.Session.html#runWithFeeds_"><span class="hs-identifier hs-type">runWithFeeds_</span></a></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier hs-type">MonadIO</span></span><span> </span><span class="annot"><a href="#local-6989586621679166796"><span class="hs-identifier hs-type">m</span></a></span><span class="hs-special">,</span><span> </span><span class="annot"><a href="TensorFlow.Nodes.html#Nodes"><span class="hs-identifier hs-type">Nodes</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166795"><span class="hs-identifier hs-type">t</span></a></span><span class="hs-special">)</span><span> </span><span class="hs-glyph">=></span><span> </span><span class="hs-special">[</span><span class="annot"><a href="TensorFlow.Tensor.html#Feed"><span class="hs-identifier hs-type">Feed</span></a></span><span class="hs-special">]</span><span> </span><span class="hs-glyph">-></span><span> </span><span class="annot"><a href="#local-6989586621679166795"><span class="hs-identifier hs-type">t</span></a></span><span> </span><span class="hs-glyph">-></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#SessionT"><span class="hs-identifier hs-type">SessionT</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166796"><span class="hs-identifier hs-type">m</span></a></span><span> </span><span class="hs-special">(</span><span class="hs-special">)</span></span></span><span> </span><span id="line-198"></span><span id="runWithFeeds_"><span class="annot"><span class="annottext">runWithFeeds_ :: [Feed] -> t -> SessionT m () </span><a href="TensorFlow.Session.html#runWithFeeds_"><span class="hs-identifier hs-var hs-var">runWithFeeds_</span></a></span></span><span> </span><span id="local-6989586621679166620"><span class="annot"><span class="annottext">feeds :: [Feed] </span><a href="#local-6989586621679166620"><span class="hs-identifier hs-var">feeds</span></a></span></span><span> </span><span id="local-6989586621679166619"><span class="annot"><span class="annottext">t :: t </span><a href="#local-6989586621679166619"><span class="hs-identifier hs-var">t</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="hs-keyword">do</span><span> </span><span id="line-199"></span><span> </span><span id="local-6989586621679166618"><span class="annot"><span class="annottext">Set NodeName </span><a href="#local-6989586621679166618"><span class="hs-identifier hs-var">ns</span></a></span></span><span> </span><span class="hs-glyph"><-</span><span> </span><span class="annot"><span class="annottext">Build (Set NodeName) -> SessionT m (Set NodeName) forall (m :: * -> *) a. MonadBuild m => Build a -> m a </span><a href="TensorFlow.Build.html#build"><span class="hs-identifier hs-var">build</span></a></span><span> </span><span class="annot"><span class="annottext">(Build (Set NodeName) -> SessionT m (Set NodeName)) -> Build (Set NodeName) -> SessionT m (Set NodeName) forall a b. (a -> b) -> a -> b </span><span class="hs-operator hs-var">$</span></span><span> </span><span class="annot"><span class="annottext">t -> Build (Set NodeName) forall t. Nodes t => t -> Build (Set NodeName) </span><a href="TensorFlow.Nodes.html#getNodes"><span class="hs-identifier hs-var">getNodes</span></a></span><span> </span><span class="annot"><span class="annottext">t </span><a href="#local-6989586621679166619"><span class="hs-identifier hs-var">t</span></a></span><span> </span><span id="line-200"></span><span> </span><span class="annot"><span class="annottext">[Feed] -> Set NodeName -> Fetch () -> SessionT m () forall (m :: * -> *) a. MonadIO m => [Feed] -> Set NodeName -> Fetch a -> SessionT m a </span><a href="TensorFlow.Session.html#runFetchWithFeeds"><span class="hs-identifier hs-var">runFetchWithFeeds</span></a></span><span> </span><span class="annot"><span class="annottext">[Feed] </span><a href="#local-6989586621679166620"><span class="hs-identifier hs-var">feeds</span></a></span><span> </span><span class="annot"><span class="annottext">Set NodeName </span><a href="#local-6989586621679166618"><span class="hs-identifier hs-var">ns</span></a></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">() -> Fetch () forall (f :: * -> *) a. Applicative f => a -> f a </span><span class="hs-identifier hs-var">pure</span></span><span> </span><span class="hs-special">(</span><span class="hs-special">)</span><span class="hs-special">)</span><span> </span><span id="line-201"></span><span> </span><span id="line-202"></span><span class="annot"><a href="TensorFlow.Session.html#fixFeeds"><span class="hs-identifier hs-type">fixFeeds</span></a></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="hs-special">[</span><span class="annot"><a href="TensorFlow.Tensor.html#Feed"><span class="hs-identifier hs-type">Feed</span></a></span><span class="hs-special">]</span><span> </span><span class="hs-glyph">-></span><span> </span><span class="hs-special">[</span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier hs-type">ByteString</span></span><span class="hs-special">,</span><span> </span><span class="annot"><a href="TensorFlow.Internal.FFI.html#TensorData"><span class="hs-identifier hs-type">FFI.TensorData</span></a></span><span class="hs-special">)</span><span class="hs-special">]</span><span> </span><span id="line-203"></span><span id="fixFeeds"><span class="annot"><span class="annottext">fixFeeds :: [Feed] -> [(ByteString, TensorData)] </span><a href="TensorFlow.Session.html#fixFeeds"><span class="hs-identifier hs-var hs-var">fixFeeds</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">(Feed -> (ByteString, TensorData)) -> [Feed] -> [(ByteString, TensorData)] forall a b. (a -> b) -> [a] -> [b] </span><span class="hs-identifier hs-var">map</span></span><span> </span><span class="annot"><span class="annottext">((Feed -> (ByteString, TensorData)) -> [Feed] -> [(ByteString, TensorData)]) -> (Feed -> (ByteString, TensorData)) -> [Feed] -> [(ByteString, TensorData)] forall a b. (a -> b) -> a -> b </span><span class="hs-operator hs-var">$</span></span><span> </span><span class="hs-glyph">\</span><span class="hs-special">(</span><span class="annot"><a href="TensorFlow.Tensor.html#Feed"><span class="hs-identifier hs-type">Feed</span></a></span><span> </span><span id="local-6989586621679166616"><span class="annot"><span class="annottext">o :: Output </span><a href="#local-6989586621679166616"><span class="hs-identifier hs-var">o</span></a></span></span><span> </span><span id="local-6989586621679166615"><span class="annot"><span class="annottext">d :: TensorData </span><a href="#local-6989586621679166615"><span class="hs-identifier hs-var">d</span></a></span></span><span class="hs-special">)</span><span> </span><span class="hs-glyph">-></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">Text -> ByteString </span><span class="hs-identifier hs-var">encodeUtf8</span></span><span> </span><span class="annot"><span class="annottext">(Text -> ByteString) -> Text -> ByteString forall a b. (a -> b) -> a -> b </span><span class="hs-operator hs-var">$</span></span><span> </span><span class="annot"><span class="annottext">Output -> Text </span><a href="TensorFlow.Build.html#encodeOutput"><span class="hs-identifier hs-var">encodeOutput</span></a></span><span> </span><span class="annot"><span class="annottext">Output </span><a href="#local-6989586621679166616"><span class="hs-identifier hs-var">o</span></a></span><span class="hs-special">,</span><span> </span><span class="annot"><span class="annottext">TensorData </span><a href="#local-6989586621679166615"><span class="hs-identifier hs-var">d</span></a></span><span class="hs-special">)</span><span> </span><span id="line-204"></span><span> </span><span id="line-205"></span><span class="hs-comment">-- | Starts a concurrent thread which evaluates the given Nodes</span><span> </span><span id="line-206"></span><span class="hs-comment">-- forever until runSession exits or an exception occurs. Graph</span><span> </span><span id="line-207"></span><span class="hs-comment">-- extension happens synchronously, but the resultant run proceeds as</span><span> </span><span id="line-208"></span><span class="hs-comment">-- a separate thread.</span><span> </span><span id="line-209"></span><span id="local-6989586621679166612"><span id="local-6989586621679166613"><span class="annot"><a href="TensorFlow.Session.html#asyncProdNodes"><span class="hs-identifier hs-type">asyncProdNodes</span></a></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier hs-type">MonadIO</span></span><span> </span><span class="annot"><a href="#local-6989586621679166613"><span class="hs-identifier hs-type">m</span></a></span><span class="hs-special">,</span><span> </span><span class="annot"><a href="TensorFlow.Nodes.html#Nodes"><span class="hs-identifier hs-type">Nodes</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166612"><span class="hs-identifier hs-type">t</span></a></span><span class="hs-special">)</span><span> </span><span id="line-210"></span><span> </span><span class="hs-glyph">=></span><span> </span><span class="annot"><a href="#local-6989586621679166612"><span class="hs-identifier hs-type">t</span></a></span><span> </span><span class="hs-comment">-- ^ Node to evaluate concurrently.</span><span> </span><span id="line-211"></span><span> </span><span class="hs-glyph">-></span><span> </span><span class="annot"><a href="TensorFlow.Session.html#SessionT"><span class="hs-identifier hs-type">SessionT</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679166613"><span class="hs-identifier hs-type">m</span></a></span><span> </span><span class="hs-special">(</span><span class="hs-special">)</span></span></span><span> </span><span id="line-212"></span><span id="asyncProdNodes"><span class="annot"><span class="annottext">asyncProdNodes :: t -> SessionT m () </span><a href="TensorFlow.Session.html#asyncProdNodes"><span class="hs-identifier hs-var hs-var">asyncProdNodes</span></a></span></span><span> </span><span id="local-6989586621679166611"><span class="annot"><span class="annottext">nodes :: t </span><a href="#local-6989586621679166611"><span class="hs-identifier hs-var">nodes</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="hs-keyword">do</span><span> </span><span id="line-213"></span><span> </span><span id="local-6989586621679166610"><span class="annot"><span class="annottext">Set NodeName </span><a href="#local-6989586621679166610"><span class="hs-identifier hs-var">target</span></a></span></span><span> </span><span class="hs-glyph"><-</span><span> </span><span class="annot"><span class="annottext">Build (Set NodeName) -> SessionT m (Set NodeName) forall (m :: * -> *) a. MonadBuild m => Build a -> m a </span><a href="TensorFlow.Build.html#build"><span class="hs-identifier hs-var">build</span></a></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">t -> Build (Set NodeName) forall t. Nodes t => t -> Build (Set NodeName) </span><a href="TensorFlow.Nodes.html#getNodes"><span class="hs-identifier hs-var">getNodes</span></a></span><span> </span><span class="annot"><span class="annottext">t </span><a href="#local-6989586621679166611"><span class="hs-identifier hs-var">nodes</span></a></span><span class="hs-special">)</span><span> </span><span id="line-214"></span><span> </span><span class="annot"><span class="annottext">SessionT m () forall (m :: * -> *). MonadIO m => SessionT m () </span><a href="TensorFlow.Session.html#extend"><span class="hs-identifier hs-var">extend</span></a></span><span> </span><span id="line-215"></span><span> </span><span class="hs-keyword">let</span><span> </span><span id="local-6989586621679166609"><span class="annot"><span class="annottext">targetNames :: [ByteString] </span><a href="#local-6989586621679166609"><span class="hs-identifier hs-var hs-var">targetNames</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">[NodeName] -> [ByteString] </span><a href="TensorFlow.Session.html#toNodeNames"><span class="hs-identifier hs-var">toNodeNames</span></a></span><span> </span><span class="annot"><span class="annottext">([NodeName] -> [ByteString]) -> [NodeName] -> [ByteString] forall a b. (a -> b) -> a -> b </span><span class="hs-operator hs-var">$</span></span><span> </span><span class="annot"><span class="annottext">Set NodeName -> [NodeName] forall a. Set a -> [a] </span><span class="hs-identifier hs-var">Set.toList</span></span><span> </span><span class="annot"><span class="annottext">Set NodeName </span><a href="#local-6989586621679166610"><span class="hs-identifier hs-var">target</span></a></span><span> </span><span id="line-216"></span><span> </span><span id="local-6989586621679166608"><span class="annot"><span class="annottext">SessionState </span><a href="#local-6989586621679166608"><span class="hs-identifier hs-var">state</span></a></span></span><span> </span><span class="hs-glyph"><-</span><span> </span><span class="annot"><span class="annottext">ReaderT SessionState (BuildT m) SessionState -> SessionT m SessionState forall (m :: * -> *) a. ReaderT SessionState (BuildT m) a -> SessionT m a </span><a href="TensorFlow.Session.html#Session"><span class="hs-identifier hs-var">Session</span></a></span><span> </span><span class="annot"><span class="annottext">ReaderT SessionState (BuildT m) SessionState forall (m :: * -> *) r. Monad m => ReaderT r m r </span><span class="hs-identifier hs-var">ask</span></span><span> </span><span id="line-217"></span><span> </span><span class="hs-keyword">let</span><span> </span><span id="local-6989586621679166607"><span class="annot"><span class="annottext">loop :: IO b </span><a href="#local-6989586621679166607"><span class="hs-identifier hs-var hs-var">loop</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">IO () -> IO b forall (f :: * -> *) a b. Applicative f => f a -> f b </span><span class="hs-identifier hs-var">forever</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">IO [TensorData] -> IO () forall (f :: * -> *) a. Functor f => f a -> f () </span><span class="hs-identifier hs-var">void</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">Session -> [(ByteString, TensorData)] -> [ByteString] -> [ByteString] -> IO [TensorData] </span><a href="TensorFlow.Internal.FFI.html#run"><span class="hs-identifier hs-var">FFI.run</span></a></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">SessionState -> Session </span><a href="TensorFlow.Session.html#rawSession"><span class="hs-identifier hs-var hs-var">rawSession</span></a></span><span> </span><span class="annot"><span class="annottext">SessionState </span><a href="#local-6989586621679166608"><span class="hs-identifier hs-var">state</span></a></span><span class="hs-special">)</span><span> </span><span class="hs-special">[</span><span class="hs-special">]</span><span> </span><span class="hs-special">[</span><span class="hs-special">]</span><span> </span><span class="annot"><span class="annottext">[ByteString] </span><a href="#local-6989586621679166609"><span class="hs-identifier hs-var">targetNames</span></a></span><span class="hs-special">)</span><span class="hs-special">)</span><span> </span><span id="line-218"></span><span> </span><span class="annot"><span class="annottext">IO () -> SessionT m () forall (m :: * -> *) a. MonadIO m => IO a -> m a </span><span class="hs-identifier hs-var">liftIO</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">SessionState -> IO () -> IO () </span><a href="TensorFlow.Session.html#asyncCollector"><span class="hs-identifier hs-var hs-var">asyncCollector</span></a></span><span> </span><span class="annot"><span class="annottext">SessionState </span><a href="#local-6989586621679166608"><span class="hs-identifier hs-var">state</span></a></span><span> </span><span class="annot"><span class="annottext">IO () forall b. IO b </span><a href="#local-6989586621679166607"><span class="hs-identifier hs-var">loop</span></a></span><span class="hs-special">)</span><span> </span><span id="line-219"></span></pre></body></html>