<!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 id="%24con2tag_Bp6jmXbpzmZ81mCjn61Ma4"></span><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> </span><span id="line-20"></span><span class="hs-keyword">module</span><span> </span><span class="hs-identifier">TensorFlow.Output</span><span> </span><span id="line-21"></span><span> </span><span class="hs-special">(</span><span> </span><span class="annot"><a href="TensorFlow.Output.html#ControlNode"><span class="hs-identifier">ControlNode</span></a></span><span class="hs-special">(</span><span class="hs-glyph">..</span><span class="hs-special">)</span><span> </span><span id="line-22"></span><span> </span><span class="hs-special">,</span><span> </span><span class="annot"><a href="TensorFlow.Output.html#Device"><span class="hs-identifier">Device</span></a></span><span class="hs-special">(</span><span class="hs-glyph">..</span><span class="hs-special">)</span><span> </span><span id="line-23"></span><span> </span><span class="annot"><span class="hs-comment">-- * Ops</span></span><span> </span><span id="line-24"></span><span> </span><span class="hs-special">,</span><span> </span><span class="annot"><a href="TensorFlow.Output.html#NodeName"><span class="hs-identifier">NodeName</span></a></span><span class="hs-special">(</span><span class="hs-glyph">..</span><span class="hs-special">)</span><span> </span><span id="line-25"></span><span> </span><span class="hs-special">,</span><span> </span><span class="annot"><a href="TensorFlow.Output.html#OpDef"><span class="hs-identifier">OpDef</span></a></span><span class="hs-special">(</span><span class="hs-glyph">..</span><span class="hs-special">)</span><span> </span><span id="line-26"></span><span> </span><span class="hs-special">,</span><span> </span><span class="annot"><a href="TensorFlow.Output.html#opName"><span class="hs-identifier">opName</span></a></span><span> </span><span id="line-27"></span><span> </span><span class="hs-special">,</span><span> </span><span class="annot"><a href="TensorFlow.Output.html#opType"><span class="hs-identifier">opType</span></a></span><span> </span><span id="line-28"></span><span> </span><span class="hs-special">,</span><span> </span><span class="annot"><a href="TensorFlow.Output.html#opAttr"><span class="hs-identifier">opAttr</span></a></span><span> </span><span id="line-29"></span><span> </span><span class="hs-special">,</span><span> </span><span class="annot"><a href="TensorFlow.Output.html#opInputs"><span class="hs-identifier">opInputs</span></a></span><span> </span><span id="line-30"></span><span> </span><span class="hs-special">,</span><span> </span><span class="annot"><a href="TensorFlow.Output.html#opControlInputs"><span class="hs-identifier">opControlInputs</span></a></span><span> </span><span id="line-31"></span><span> </span><span class="hs-special">,</span><span> </span><span class="annot"><a href="TensorFlow.Output.html#OpType"><span class="hs-identifier">OpType</span></a></span><span class="hs-special">(</span><span class="hs-glyph">..</span><span class="hs-special">)</span><span> </span><span id="line-32"></span><span> </span><span class="hs-special">,</span><span> </span><span class="annot"><a href="TensorFlow.Output.html#OutputIx"><span class="hs-identifier">OutputIx</span></a></span><span class="hs-special">(</span><span class="hs-glyph">..</span><span class="hs-special">)</span><span> </span><span id="line-33"></span><span> </span><span class="hs-special">,</span><span> </span><span class="annot"><a href="TensorFlow.Output.html#Output"><span class="hs-identifier">Output</span></a></span><span class="hs-special">(</span><span class="hs-glyph">..</span><span class="hs-special">)</span><span> </span><span id="line-34"></span><span> </span><span class="hs-special">,</span><span> </span><span class="annot"><a href="TensorFlow.Output.html#output"><span class="hs-identifier">output</span></a></span><span> </span><span id="line-35"></span><span> </span><span class="hs-special">,</span><span> </span><span class="annot"><a href="TensorFlow.Output.html#PendingNodeName"><span class="hs-identifier">PendingNodeName</span></a></span><span class="hs-special">(</span><span class="hs-glyph">..</span><span class="hs-special">)</span><span> </span><span id="line-36"></span><span> </span><span class="hs-special">)</span><span> </span><span class="hs-keyword">where</span><span> </span><span id="line-37"></span><span> </span><span id="line-38"></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-39"></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-40"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><span class="hs-identifier">Data.String</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier">IsString</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 id="line-41"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><span class="hs-identifier">Data.Text</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier">Text</span></span><span class="hs-special">)</span><span> </span><span id="line-42"></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.Text</span></span><span> </span><span class="hs-keyword">as</span><span> </span><span class="annot"><span class="hs-identifier">Text</span></span><span> </span><span id="line-43"></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 id="line-44"></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-45"></span><span class="hs-keyword">import</span><span> </span><span class="annot"><span class="hs-identifier">Proto.Tensorflow.Core.Framework.AttrValue</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier">AttrValue</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"><a href="TensorFlow.Types.html"><span class="hs-identifier">TensorFlow.Types</span></a></span><span> </span><span class="hs-special">(</span><span class="annot"><a href="TensorFlow.Types.html#Attribute"><span class="hs-identifier">Attribute</span></a></span><span class="hs-special">,</span><span> </span><span class="annot"><a href="TensorFlow.Types.html#attrLens"><span class="hs-identifier">attrLens</span></a></span><span class="hs-special">)</span><span> </span><span id="line-47"></span><span> </span><span id="line-48"></span><span class="hs-comment">-- | A type of graph node which has no outputs. These nodes are</span><span> </span><span id="line-49"></span><span class="hs-comment">-- valuable for causing side effects when they are run.</span><span> </span><span id="line-50"></span><span class="hs-keyword">newtype</span><span> </span><span id="ControlNode"><span class="annot"><a href="TensorFlow.Output.html#ControlNode"><span class="hs-identifier hs-var">ControlNode</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span id="ControlNode"><span class="annot"><a href="TensorFlow.Output.html#ControlNode"><span class="hs-identifier hs-var">ControlNode</span></a></span></span><span> </span><span class="hs-special">{</span><span> </span><span id="unControlNode"><span class="annot"><span class="annottext">ControlNode -> NodeName </span><a href="TensorFlow.Output.html#unControlNode"><span class="hs-identifier hs-var hs-var">unControlNode</span></a></span></span><span> </span><span class="hs-glyph">::</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-special">}</span><span> </span><span id="line-51"></span><span> </span><span id="line-52"></span><span class="hs-comment">-- | The type of op of a node in the graph. This corresponds to the proto field</span><span> </span><span id="line-53"></span><span class="hs-comment">-- NodeDef.op.</span><span> </span><span id="line-54"></span><span class="hs-keyword">newtype</span><span> </span><span id="OpType"><span class="annot"><a href="TensorFlow.Output.html#OpType"><span class="hs-identifier hs-var">OpType</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span id="OpType"><span class="annot"><a href="TensorFlow.Output.html#OpType"><span class="hs-identifier hs-var">OpType</span></a></span></span><span> </span><span class="hs-special">{</span><span> </span><span id="unOpType"><span class="annot"><span class="annottext">OpType -> Text </span><a href="TensorFlow.Output.html#unOpType"><span class="hs-identifier hs-var hs-var">unOpType</span></a></span></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="annot"><span class="hs-identifier hs-type">Text</span></span><span> </span><span class="hs-special">}</span><span> </span><span id="line-55"></span><span> </span><span class="hs-keyword">deriving</span><span> </span><span class="hs-special">(</span><span id="local-6989586621679165230"><span id="local-6989586621679165232"><span class="annot"><span class="annottext">OpType -> OpType -> Bool (OpType -> OpType -> Bool) -> (OpType -> OpType -> Bool) -> Eq OpType forall a. (a -> a -> Bool) -> (a -> a -> Bool) -> Eq a /= :: OpType -> OpType -> Bool $c/= :: OpType -> OpType -> Bool == :: OpType -> OpType -> Bool $c== :: OpType -> OpType -> Bool </span><span class="hs-identifier hs-var hs-var hs-var hs-var hs-var hs-var">Eq</span></span></span></span><span class="hs-special">,</span><span> </span><span id="local-6989586621679165214"><span id="local-6989586621679165216"><span id="local-6989586621679165218"><span id="local-6989586621679165220"><span id="local-6989586621679165222"><span id="local-6989586621679165224"><span id="local-6989586621679165226"><span class="annot"><span class="annottext">Eq OpType Eq OpType => (OpType -> OpType -> Ordering) -> (OpType -> OpType -> Bool) -> (OpType -> OpType -> Bool) -> (OpType -> OpType -> Bool) -> (OpType -> OpType -> Bool) -> (OpType -> OpType -> OpType) -> (OpType -> OpType -> OpType) -> Ord OpType OpType -> OpType -> Bool OpType -> OpType -> Ordering OpType -> OpType -> OpType forall a. Eq a => (a -> a -> Ordering) -> (a -> a -> Bool) -> (a -> a -> Bool) -> (a -> a -> Bool) -> (a -> a -> Bool) -> (a -> a -> a) -> (a -> a -> a) -> Ord a min :: OpType -> OpType -> OpType $cmin :: OpType -> OpType -> OpType max :: OpType -> OpType -> OpType $cmax :: OpType -> OpType -> OpType >= :: OpType -> OpType -> Bool $c>= :: OpType -> OpType -> Bool > :: OpType -> OpType -> Bool $c> :: OpType -> OpType -> Bool <= :: OpType -> OpType -> Bool $c<= :: OpType -> OpType -> Bool < :: OpType -> OpType -> Bool $c< :: OpType -> OpType -> Bool compare :: OpType -> OpType -> Ordering $ccompare :: OpType -> OpType -> Ordering $cp1Ord :: Eq OpType </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 hs-var hs-var hs-var hs-var">Ord</span></span></span></span></span></span></span></span></span><span class="hs-special">,</span><span> </span><span id="local-6989586621679165207"><span id="local-6989586621679165209"><span id="local-6989586621679165211"><span class="annot"><span class="annottext">Int -> OpType -> ShowS [OpType] -> ShowS OpType -> String (Int -> OpType -> ShowS) -> (OpType -> String) -> ([OpType] -> ShowS) -> Show OpType forall a. (Int -> a -> ShowS) -> (a -> String) -> ([a] -> ShowS) -> Show a showList :: [OpType] -> ShowS $cshowList :: [OpType] -> ShowS show :: OpType -> String $cshow :: OpType -> String showsPrec :: Int -> OpType -> ShowS $cshowsPrec :: Int -> OpType -> ShowS </span><span class="hs-identifier hs-var hs-var hs-var hs-var hs-var hs-var hs-var hs-var">Show</span></span></span></span></span><span class="hs-special">)</span><span> </span><span id="line-56"></span><span> </span><span id="line-57"></span><span class="hs-keyword">instance</span><span> </span><span class="annot"><span class="hs-identifier hs-type">IsString</span></span><span> </span><span class="annot"><a href="TensorFlow.Output.html#OpType"><span class="hs-identifier hs-type">OpType</span></a></span><span> </span><span class="hs-keyword">where</span><span> </span><span id="line-58"></span><span> </span><span id="local-6989586621679165203"><span class="annot"><span class="annottext">fromString :: String -> OpType </span><span class="hs-identifier hs-var hs-var hs-var hs-var">fromString</span></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">Text -> OpType </span><a href="TensorFlow.Output.html#OpType"><span class="hs-identifier hs-var">OpType</span></a></span><span> </span><span class="annot"><span class="annottext">(Text -> OpType) -> (String -> Text) -> String -> OpType 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">String -> Text </span><span class="hs-identifier hs-var">Text.pack</span></span><span> </span><span id="line-59"></span><span> </span><span id="line-60"></span><span class="hs-comment">-- | An output of a TensorFlow node.</span><span> </span><span id="line-61"></span><span class="hs-keyword">data</span><span> </span><span id="Output"><span class="annot"><a href="TensorFlow.Output.html#Output"><span class="hs-identifier hs-var">Output</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span id="Output"><span class="annot"><a href="TensorFlow.Output.html#Output"><span class="hs-identifier hs-var">Output</span></a></span></span><span> </span><span class="hs-special">{</span><span id="outputIndex"><span class="annot"><span class="annottext">Output -> OutputIx </span><a href="TensorFlow.Output.html#outputIndex"><span class="hs-identifier hs-var hs-var">outputIndex</span></a></span></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="hs-glyph">!</span><span class="annot"><a href="TensorFlow.Output.html#OutputIx"><span class="hs-identifier hs-type">OutputIx</span></a></span><span class="hs-special">,</span><span> </span><span id="outputNodeName"><span class="annot"><span class="annottext">Output -> NodeName </span><a href="TensorFlow.Output.html#outputNodeName"><span class="hs-identifier hs-var hs-var">outputNodeName</span></a></span></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="hs-glyph">!</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 id="line-62"></span><span> </span><span class="hs-keyword">deriving</span><span> </span><span class="hs-special">(</span><span id="local-6989586621679165194"><span id="local-6989586621679165196"><span class="annot"><span class="annottext">Output -> Output -> Bool (Output -> Output -> Bool) -> (Output -> Output -> Bool) -> Eq Output forall a. (a -> a -> Bool) -> (a -> a -> Bool) -> Eq a /= :: Output -> Output -> Bool $c/= :: Output -> Output -> Bool == :: Output -> Output -> Bool $c== :: Output -> Output -> Bool </span><span class="hs-identifier hs-var hs-var hs-var hs-var hs-var hs-var">Eq</span></span></span></span><span class="hs-special">,</span><span> </span><span id="local-6989586621679165179"><span id="local-6989586621679165181"><span id="local-6989586621679165183"><span id="local-6989586621679165185"><span id="local-6989586621679165187"><span id="local-6989586621679165189"><span id="local-6989586621679165191"><span class="annot"><span class="annottext">Eq Output Eq Output => (Output -> Output -> Ordering) -> (Output -> Output -> Bool) -> (Output -> Output -> Bool) -> (Output -> Output -> Bool) -> (Output -> Output -> Bool) -> (Output -> Output -> Output) -> (Output -> Output -> Output) -> Ord Output Output -> Output -> Bool Output -> Output -> Ordering Output -> Output -> Output forall a. Eq a => (a -> a -> Ordering) -> (a -> a -> Bool) -> (a -> a -> Bool) -> (a -> a -> Bool) -> (a -> a -> Bool) -> (a -> a -> a) -> (a -> a -> a) -> Ord a min :: Output -> Output -> Output $cmin :: Output -> Output -> Output max :: Output -> Output -> Output $cmax :: Output -> Output -> Output >= :: Output -> Output -> Bool $c>= :: Output -> Output -> Bool > :: Output -> Output -> Bool $c> :: Output -> Output -> Bool <= :: Output -> Output -> Bool $c<= :: Output -> Output -> Bool < :: Output -> Output -> Bool $c< :: Output -> Output -> Bool compare :: Output -> Output -> Ordering $ccompare :: Output -> Output -> Ordering $cp1Ord :: Eq Output </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 hs-var hs-var hs-var hs-var">Ord</span></span></span></span></span></span></span></span></span><span class="hs-special">,</span><span> </span><span id="local-6989586621679165173"><span id="local-6989586621679165175"><span id="local-6989586621679165177"><span class="annot"><span class="annottext">Int -> Output -> ShowS [Output] -> ShowS Output -> String (Int -> Output -> ShowS) -> (Output -> String) -> ([Output] -> ShowS) -> Show Output forall a. (Int -> a -> ShowS) -> (a -> String) -> ([a] -> ShowS) -> Show a showList :: [Output] -> ShowS $cshowList :: [Output] -> ShowS show :: Output -> String $cshow :: Output -> String showsPrec :: Int -> Output -> ShowS $cshowsPrec :: Int -> Output -> ShowS </span><span class="hs-identifier hs-var hs-var hs-var hs-var hs-var hs-var hs-var hs-var">Show</span></span></span></span></span><span class="hs-special">)</span><span> </span><span id="line-63"></span><span> </span><span id="line-64"></span><span class="annot"><a href="TensorFlow.Output.html#output"><span class="hs-identifier hs-type">output</span></a></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="annot"><a href="TensorFlow.Output.html#OutputIx"><span class="hs-identifier hs-type">OutputIx</span></a></span><span> </span><span class="hs-glyph">-></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.Output.html#Output"><span class="hs-identifier hs-type">Output</span></a></span><span> </span><span id="line-65"></span><span id="output"><span class="annot"><span class="annottext">output :: OutputIx -> NodeName -> Output </span><a href="TensorFlow.Output.html#output"><span class="hs-identifier hs-var hs-var">output</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">OutputIx -> NodeName -> Output </span><a href="TensorFlow.Output.html#Output"><span class="hs-identifier hs-var">Output</span></a></span><span> </span><span id="line-66"></span><span> </span><span id="line-67"></span><span class="hs-keyword">newtype</span><span> </span><span id="OutputIx"><span class="annot"><a href="TensorFlow.Output.html#OutputIx"><span class="hs-identifier hs-var">OutputIx</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span id="OutputIx"><span class="annot"><a href="TensorFlow.Output.html#OutputIx"><span class="hs-identifier hs-var">OutputIx</span></a></span></span><span> </span><span class="hs-special">{</span><span> </span><span id="unOutputIx"><span class="annot"><span class="annottext">OutputIx -> Int </span><a href="TensorFlow.Output.html#unOutputIx"><span class="hs-identifier hs-var hs-var">unOutputIx</span></a></span></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="annot"><span class="hs-identifier hs-type">Int</span></span><span> </span><span class="hs-special">}</span><span> </span><span id="line-68"></span><span> </span><span class="hs-keyword">deriving</span><span> </span><span class="hs-special">(</span><span id="local-6989586621679165167"><span id="local-6989586621679165169"><span class="annot"><span class="annottext">OutputIx -> OutputIx -> Bool (OutputIx -> OutputIx -> Bool) -> (OutputIx -> OutputIx -> Bool) -> Eq OutputIx forall a. (a -> a -> Bool) -> (a -> a -> Bool) -> Eq a /= :: OutputIx -> OutputIx -> Bool $c/= :: OutputIx -> OutputIx -> Bool == :: OutputIx -> OutputIx -> Bool $c== :: OutputIx -> OutputIx -> Bool </span><span class="hs-identifier hs-var hs-var hs-var hs-var hs-var hs-var">Eq</span></span></span></span><span class="hs-special">,</span><span> </span><span id="local-6989586621679165152"><span id="local-6989586621679165154"><span id="local-6989586621679165156"><span id="local-6989586621679165158"><span id="local-6989586621679165160"><span id="local-6989586621679165162"><span id="local-6989586621679165164"><span class="annot"><span class="annottext">Eq OutputIx Eq OutputIx => (OutputIx -> OutputIx -> Ordering) -> (OutputIx -> OutputIx -> Bool) -> (OutputIx -> OutputIx -> Bool) -> (OutputIx -> OutputIx -> Bool) -> (OutputIx -> OutputIx -> Bool) -> (OutputIx -> OutputIx -> OutputIx) -> (OutputIx -> OutputIx -> OutputIx) -> Ord OutputIx OutputIx -> OutputIx -> Bool OutputIx -> OutputIx -> Ordering OutputIx -> OutputIx -> OutputIx forall a. Eq a => (a -> a -> Ordering) -> (a -> a -> Bool) -> (a -> a -> Bool) -> (a -> a -> Bool) -> (a -> a -> Bool) -> (a -> a -> a) -> (a -> a -> a) -> Ord a min :: OutputIx -> OutputIx -> OutputIx $cmin :: OutputIx -> OutputIx -> OutputIx max :: OutputIx -> OutputIx -> OutputIx $cmax :: OutputIx -> OutputIx -> OutputIx >= :: OutputIx -> OutputIx -> Bool $c>= :: OutputIx -> OutputIx -> Bool > :: OutputIx -> OutputIx -> Bool $c> :: OutputIx -> OutputIx -> Bool <= :: OutputIx -> OutputIx -> Bool $c<= :: OutputIx -> OutputIx -> Bool < :: OutputIx -> OutputIx -> Bool $c< :: OutputIx -> OutputIx -> Bool compare :: OutputIx -> OutputIx -> Ordering $ccompare :: OutputIx -> OutputIx -> Ordering $cp1Ord :: Eq OutputIx </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 hs-var hs-var hs-var hs-var">Ord</span></span></span></span></span></span></span></span></span><span class="hs-special">,</span><span> </span><span id="local-6989586621679165138"><span id="local-6989586621679165140"><span id="local-6989586621679165142"><span id="local-6989586621679165144"><span id="local-6989586621679165146"><span id="local-6989586621679165148"><span id="local-6989586621679165150"><span class="annot"><span class="annottext">Integer -> OutputIx OutputIx -> OutputIx OutputIx -> OutputIx -> OutputIx (OutputIx -> OutputIx -> OutputIx) -> (OutputIx -> OutputIx -> OutputIx) -> (OutputIx -> OutputIx -> OutputIx) -> (OutputIx -> OutputIx) -> (OutputIx -> OutputIx) -> (OutputIx -> OutputIx) -> (Integer -> OutputIx) -> Num OutputIx forall a. (a -> a -> a) -> (a -> a -> a) -> (a -> a -> a) -> (a -> a) -> (a -> a) -> (a -> a) -> (Integer -> a) -> Num a fromInteger :: Integer -> OutputIx $cfromInteger :: Integer -> OutputIx signum :: OutputIx -> OutputIx $csignum :: OutputIx -> OutputIx abs :: OutputIx -> OutputIx $cabs :: OutputIx -> OutputIx negate :: OutputIx -> OutputIx $cnegate :: OutputIx -> OutputIx * :: OutputIx -> OutputIx -> OutputIx $c* :: OutputIx -> OutputIx -> OutputIx - :: OutputIx -> OutputIx -> OutputIx $c- :: OutputIx -> OutputIx -> OutputIx + :: OutputIx -> OutputIx -> OutputIx $c+ :: OutputIx -> OutputIx -> OutputIx </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 hs-var hs-var hs-var">Num</span></span></span></span></span></span></span></span></span><span class="hs-special">,</span><span> </span><span id="local-6989586621679165121"><span id="local-6989586621679165123"><span id="local-6989586621679165125"><span id="local-6989586621679165127"><span id="local-6989586621679165129"><span id="local-6989586621679165131"><span id="local-6989586621679165133"><span id="local-6989586621679165135"><span class="annot"><span class="annottext">Int -> OutputIx OutputIx -> Int OutputIx -> [OutputIx] OutputIx -> OutputIx OutputIx -> OutputIx -> [OutputIx] OutputIx -> OutputIx -> OutputIx -> [OutputIx] (OutputIx -> OutputIx) -> (OutputIx -> OutputIx) -> (Int -> OutputIx) -> (OutputIx -> Int) -> (OutputIx -> [OutputIx]) -> (OutputIx -> OutputIx -> [OutputIx]) -> (OutputIx -> OutputIx -> [OutputIx]) -> (OutputIx -> OutputIx -> OutputIx -> [OutputIx]) -> Enum OutputIx forall a. (a -> a) -> (a -> a) -> (Int -> a) -> (a -> Int) -> (a -> [a]) -> (a -> a -> [a]) -> (a -> a -> [a]) -> (a -> a -> a -> [a]) -> Enum a enumFromThenTo :: OutputIx -> OutputIx -> OutputIx -> [OutputIx] $cenumFromThenTo :: OutputIx -> OutputIx -> OutputIx -> [OutputIx] enumFromTo :: OutputIx -> OutputIx -> [OutputIx] $cenumFromTo :: OutputIx -> OutputIx -> [OutputIx] enumFromThen :: OutputIx -> OutputIx -> [OutputIx] $cenumFromThen :: OutputIx -> OutputIx -> [OutputIx] enumFrom :: OutputIx -> [OutputIx] $cenumFrom :: OutputIx -> [OutputIx] fromEnum :: OutputIx -> Int $cfromEnum :: OutputIx -> Int toEnum :: Int -> OutputIx $ctoEnum :: Int -> OutputIx pred :: OutputIx -> OutputIx $cpred :: OutputIx -> OutputIx succ :: OutputIx -> OutputIx $csucc :: OutputIx -> OutputIx </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 hs-var hs-var hs-var hs-var hs-var">Enum</span></span></span></span></span></span></span></span></span></span><span class="hs-special">,</span><span> </span><span id="local-6989586621679165114"><span id="local-6989586621679165116"><span id="local-6989586621679165118"><span class="annot"><span class="annottext">Int -> OutputIx -> ShowS [OutputIx] -> ShowS OutputIx -> String (Int -> OutputIx -> ShowS) -> (OutputIx -> String) -> ([OutputIx] -> ShowS) -> Show OutputIx forall a. (Int -> a -> ShowS) -> (a -> String) -> ([a] -> ShowS) -> Show a showList :: [OutputIx] -> ShowS $cshowList :: [OutputIx] -> ShowS show :: OutputIx -> String $cshow :: OutputIx -> String showsPrec :: Int -> OutputIx -> ShowS $cshowsPrec :: Int -> OutputIx -> ShowS </span><span class="hs-identifier hs-var hs-var hs-var hs-var hs-var hs-var hs-var hs-var">Show</span></span></span></span></span><span class="hs-special">)</span><span> </span><span id="line-69"></span><span> </span><span id="line-70"></span><span class="hs-comment">-- | A device that a node can be assigned to.</span><span> </span><span id="line-71"></span><span class="hs-comment">-- There's a naming convention where the device names</span><span> </span><span id="line-72"></span><span class="hs-comment">-- are constructed from job and replica names.</span><span> </span><span id="line-73"></span><span class="hs-keyword">newtype</span><span> </span><span id="Device"><span class="annot"><a href="TensorFlow.Output.html#Device"><span class="hs-identifier hs-var">Device</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span id="Device"><span class="annot"><a href="TensorFlow.Output.html#Device"><span class="hs-identifier hs-var">Device</span></a></span></span><span> </span><span class="hs-special">{</span><span id="deviceName"><span class="annot"><span class="annottext">Device -> Text </span><a href="TensorFlow.Output.html#deviceName"><span class="hs-identifier hs-var hs-var">deviceName</span></a></span></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="annot"><span class="hs-identifier hs-type">Text</span></span><span class="hs-special">}</span><span> </span><span id="line-74"></span><span> </span><span class="hs-keyword">deriving</span><span> </span><span class="hs-special">(</span><span id="local-6989586621679165108"><span id="local-6989586621679165110"><span class="annot"><span class="annottext">Device -> Device -> Bool (Device -> Device -> Bool) -> (Device -> Device -> Bool) -> Eq Device forall a. (a -> a -> Bool) -> (a -> a -> Bool) -> Eq a /= :: Device -> Device -> Bool $c/= :: Device -> Device -> Bool == :: Device -> Device -> Bool $c== :: Device -> Device -> Bool </span><span class="hs-identifier hs-var hs-var hs-var hs-var hs-var hs-var">Eq</span></span></span></span><span class="hs-special">,</span><span> </span><span id="local-6989586621679165093"><span id="local-6989586621679165095"><span id="local-6989586621679165097"><span id="local-6989586621679165099"><span id="local-6989586621679165101"><span id="local-6989586621679165103"><span id="local-6989586621679165105"><span class="annot"><span class="annottext">Eq Device Eq Device => (Device -> Device -> Ordering) -> (Device -> Device -> Bool) -> (Device -> Device -> Bool) -> (Device -> Device -> Bool) -> (Device -> Device -> Bool) -> (Device -> Device -> Device) -> (Device -> Device -> Device) -> Ord Device Device -> Device -> Bool Device -> Device -> Ordering Device -> Device -> Device forall a. Eq a => (a -> a -> Ordering) -> (a -> a -> Bool) -> (a -> a -> Bool) -> (a -> a -> Bool) -> (a -> a -> Bool) -> (a -> a -> a) -> (a -> a -> a) -> Ord a min :: Device -> Device -> Device $cmin :: Device -> Device -> Device max :: Device -> Device -> Device $cmax :: Device -> Device -> Device >= :: Device -> Device -> Bool $c>= :: Device -> Device -> Bool > :: Device -> Device -> Bool $c> :: Device -> Device -> Bool <= :: Device -> Device -> Bool $c<= :: Device -> Device -> Bool < :: Device -> Device -> Bool $c< :: Device -> Device -> Bool compare :: Device -> Device -> Ordering $ccompare :: Device -> Device -> Ordering $cp1Ord :: Eq Device </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 hs-var hs-var hs-var hs-var">Ord</span></span></span></span></span></span></span></span></span><span class="hs-special">,</span><span> </span><span id="local-6989586621679165091"><span class="annot"><span class="annottext">String -> Device (String -> Device) -> IsString Device forall a. (String -> a) -> IsString a fromString :: String -> Device $cfromString :: String -> Device </span><span class="hs-identifier hs-var hs-var hs-var hs-var">IsString</span></span></span><span class="hs-special">)</span><span> </span><span id="line-75"></span><span> </span><span id="line-76"></span><span class="hs-keyword">instance</span><span> </span><span id="local-6989586621679165086"><span id="local-6989586621679165089"><span class="annot"><span class="hs-identifier hs-type">Show</span></span><span> </span><span class="annot"><a href="TensorFlow.Output.html#Device"><span class="hs-identifier hs-type">Device</span></a></span></span></span><span> </span><span class="hs-keyword">where</span><span> </span><span id="line-77"></span><span> </span><span id="local-6989586621679165085"><span class="annot"><span class="annottext">show :: Device -> String </span><span class="hs-identifier hs-var hs-var hs-var hs-var">show</span></span></span><span> </span><span class="hs-special">(</span><span class="annot"><a href="TensorFlow.Output.html#Device"><span class="hs-identifier hs-type">Device</span></a></span><span> </span><span id="local-6989586621679165083"><span class="annot"><span class="annottext">d :: Text </span><a href="#local-6989586621679165083"><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="annot"><span class="annottext">Text -> String forall a. Show a => a -> String </span><span class="hs-identifier hs-var">show</span></span><span> </span><span class="annot"><span class="annottext">Text </span><a href="#local-6989586621679165083"><span class="hs-identifier hs-var">d</span></a></span><span> </span><span id="line-78"></span><span> </span><span id="line-79"></span><span class="hs-comment">-- | Op definition. This corresponds somewhat to the 'NodeDef' proto.</span><span> </span><span id="line-80"></span><span class="hs-keyword">data</span><span> </span><span id="OpDef"><span class="annot"><a href="TensorFlow.Output.html#OpDef"><span class="hs-identifier hs-var">OpDef</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span id="OpDef"><span class="annot"><a href="TensorFlow.Output.html#OpDef"><span class="hs-identifier hs-var">OpDef</span></a></span></span><span> </span><span id="line-81"></span><span> </span><span class="hs-special">{</span><span> </span><span id="_opName"><span class="annot"><span class="annottext">OpDef -> PendingNodeName </span><a href="TensorFlow.Output.html#_opName"><span class="hs-identifier hs-var hs-var">_opName</span></a></span></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="hs-glyph">!</span><span class="annot"><a href="TensorFlow.Output.html#PendingNodeName"><span class="hs-identifier hs-type">PendingNodeName</span></a></span><span> </span><span id="line-82"></span><span> </span><span class="hs-special">,</span><span> </span><span id="_opType"><span class="annot"><span class="annottext">OpDef -> OpType </span><a href="TensorFlow.Output.html#_opType"><span class="hs-identifier hs-var hs-var">_opType</span></a></span></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="hs-glyph">!</span><span class="annot"><a href="TensorFlow.Output.html#OpType"><span class="hs-identifier hs-type">OpType</span></a></span><span> </span><span id="line-83"></span><span> </span><span class="hs-special">,</span><span> </span><span id="_opAttrs"><span class="annot"><span class="annottext">OpDef -> Map Text AttrValue </span><a href="TensorFlow.Output.html#_opAttrs"><span class="hs-identifier hs-var hs-var">_opAttrs</span></a></span></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="hs-glyph">!</span><span class="hs-special">(</span><span class="annot"><span class="hs-identifier hs-type">Map.Map</span></span><span> </span><span class="annot"><span class="hs-identifier hs-type">Text</span></span><span> </span><span class="annot"><span class="hs-identifier hs-type">AttrValue</span></span><span class="hs-special">)</span><span> </span><span id="line-84"></span><span> </span><span class="hs-special">,</span><span> </span><span id="_opInputs"><span class="annot"><span class="annottext">OpDef -> [Output] </span><a href="TensorFlow.Output.html#_opInputs"><span class="hs-identifier hs-var hs-var">_opInputs</span></a></span></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="hs-special">[</span><span class="annot"><a href="TensorFlow.Output.html#Output"><span class="hs-identifier hs-type">Output</span></a></span><span class="hs-special">]</span><span> </span><span id="line-85"></span><span> </span><span class="hs-special">,</span><span> </span><span id="_opControlInputs"><span class="annot"><span class="annottext">OpDef -> [NodeName] </span><a href="TensorFlow.Output.html#_opControlInputs"><span class="hs-identifier hs-var hs-var">_opControlInputs</span></a></span></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 id="line-86"></span><span> </span><span class="hs-special">}</span><span> </span><span class="hs-keyword">deriving</span><span> </span><span class="hs-special">(</span><span id="local-6989586621679165073"><span id="local-6989586621679165075"><span class="annot"><span class="annottext">OpDef -> OpDef -> Bool (OpDef -> OpDef -> Bool) -> (OpDef -> OpDef -> Bool) -> Eq OpDef forall a. (a -> a -> Bool) -> (a -> a -> Bool) -> Eq a /= :: OpDef -> OpDef -> Bool $c/= :: OpDef -> OpDef -> Bool == :: OpDef -> OpDef -> Bool $c== :: OpDef -> OpDef -> Bool </span><span class="hs-identifier hs-var hs-var hs-var hs-var hs-var hs-var">Eq</span></span></span></span><span class="hs-special">,</span><span> </span><span id="local-6989586621679165058"><span id="local-6989586621679165060"><span id="local-6989586621679165062"><span id="local-6989586621679165064"><span id="local-6989586621679165066"><span id="local-6989586621679165068"><span id="local-6989586621679165070"><span class="annot"><span class="annottext">Eq OpDef Eq OpDef => (OpDef -> OpDef -> Ordering) -> (OpDef -> OpDef -> Bool) -> (OpDef -> OpDef -> Bool) -> (OpDef -> OpDef -> Bool) -> (OpDef -> OpDef -> Bool) -> (OpDef -> OpDef -> OpDef) -> (OpDef -> OpDef -> OpDef) -> Ord OpDef OpDef -> OpDef -> Bool OpDef -> OpDef -> Ordering OpDef -> OpDef -> OpDef forall a. Eq a => (a -> a -> Ordering) -> (a -> a -> Bool) -> (a -> a -> Bool) -> (a -> a -> Bool) -> (a -> a -> Bool) -> (a -> a -> a) -> (a -> a -> a) -> Ord a min :: OpDef -> OpDef -> OpDef $cmin :: OpDef -> OpDef -> OpDef max :: OpDef -> OpDef -> OpDef $cmax :: OpDef -> OpDef -> OpDef >= :: OpDef -> OpDef -> Bool $c>= :: OpDef -> OpDef -> Bool > :: OpDef -> OpDef -> Bool $c> :: OpDef -> OpDef -> Bool <= :: OpDef -> OpDef -> Bool $c<= :: OpDef -> OpDef -> Bool < :: OpDef -> OpDef -> Bool $c< :: OpDef -> OpDef -> Bool compare :: OpDef -> OpDef -> Ordering $ccompare :: OpDef -> OpDef -> Ordering $cp1Ord :: Eq OpDef </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 hs-var hs-var hs-var hs-var">Ord</span></span></span></span></span></span></span></span></span><span class="hs-special">)</span><span> </span><span id="line-87"></span><span> </span><span id="line-88"></span><span class="hs-comment">-- | The name specified for an unrendered Op. If an Op has an</span><span> </span><span id="line-89"></span><span class="hs-comment">-- ImplicitName, it will be assigned based on the opType plus a</span><span> </span><span id="line-90"></span><span class="hs-comment">-- unique identifier. Does not contain the "scope" prefix.</span><span> </span><span id="line-91"></span><span class="hs-keyword">data</span><span> </span><span id="PendingNodeName"><span class="annot"><a href="TensorFlow.Output.html#PendingNodeName"><span class="hs-identifier hs-var">PendingNodeName</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span id="ExplicitName"><span class="annot"><a href="TensorFlow.Output.html#ExplicitName"><span class="hs-identifier hs-var">ExplicitName</span></a></span></span><span> </span><span class="hs-glyph">!</span><span class="annot"><span class="hs-identifier hs-type">Text</span></span><span> </span><span class="hs-glyph">|</span><span> </span><span id="ImplicitName"><span class="annot"><a href="TensorFlow.Output.html#ImplicitName"><span class="hs-identifier hs-var">ImplicitName</span></a></span></span><span> </span><span id="line-92"></span><span> </span><span class="hs-keyword">deriving</span><span> </span><span class="hs-special">(</span><span id="local-6989586621679165052"><span id="local-6989586621679165054"><span class="annot"><span class="annottext">PendingNodeName -> PendingNodeName -> Bool (PendingNodeName -> PendingNodeName -> Bool) -> (PendingNodeName -> PendingNodeName -> Bool) -> Eq PendingNodeName forall a. (a -> a -> Bool) -> (a -> a -> Bool) -> Eq a /= :: PendingNodeName -> PendingNodeName -> Bool $c/= :: PendingNodeName -> PendingNodeName -> Bool == :: PendingNodeName -> PendingNodeName -> Bool $c== :: PendingNodeName -> PendingNodeName -> Bool </span><span class="hs-identifier hs-var hs-var hs-var hs-var hs-var hs-var">Eq</span></span></span></span><span class="hs-special">,</span><span> </span><span id="local-6989586621679165037"><span id="local-6989586621679165039"><span id="local-6989586621679165041"><span id="local-6989586621679165043"><span id="local-6989586621679165045"><span id="local-6989586621679165047"><span id="local-6989586621679165049"><span class="annot"><span class="annottext">Eq PendingNodeName Eq PendingNodeName => (PendingNodeName -> PendingNodeName -> Ordering) -> (PendingNodeName -> PendingNodeName -> Bool) -> (PendingNodeName -> PendingNodeName -> Bool) -> (PendingNodeName -> PendingNodeName -> Bool) -> (PendingNodeName -> PendingNodeName -> Bool) -> (PendingNodeName -> PendingNodeName -> PendingNodeName) -> (PendingNodeName -> PendingNodeName -> PendingNodeName) -> Ord PendingNodeName PendingNodeName -> PendingNodeName -> Bool PendingNodeName -> PendingNodeName -> Ordering PendingNodeName -> PendingNodeName -> PendingNodeName forall a. Eq a => (a -> a -> Ordering) -> (a -> a -> Bool) -> (a -> a -> Bool) -> (a -> a -> Bool) -> (a -> a -> Bool) -> (a -> a -> a) -> (a -> a -> a) -> Ord a min :: PendingNodeName -> PendingNodeName -> PendingNodeName $cmin :: PendingNodeName -> PendingNodeName -> PendingNodeName max :: PendingNodeName -> PendingNodeName -> PendingNodeName $cmax :: PendingNodeName -> PendingNodeName -> PendingNodeName >= :: PendingNodeName -> PendingNodeName -> Bool $c>= :: PendingNodeName -> PendingNodeName -> Bool > :: PendingNodeName -> PendingNodeName -> Bool $c> :: PendingNodeName -> PendingNodeName -> Bool <= :: PendingNodeName -> PendingNodeName -> Bool $c<= :: PendingNodeName -> PendingNodeName -> Bool < :: PendingNodeName -> PendingNodeName -> Bool $c< :: PendingNodeName -> PendingNodeName -> Bool compare :: PendingNodeName -> PendingNodeName -> Ordering $ccompare :: PendingNodeName -> PendingNodeName -> Ordering $cp1Ord :: Eq PendingNodeName </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 hs-var hs-var hs-var hs-var">Ord</span></span></span></span></span></span></span></span></span><span class="hs-special">,</span><span> </span><span id="local-6989586621679165031"><span id="local-6989586621679165033"><span id="local-6989586621679165035"><span class="annot"><span class="annottext">Int -> PendingNodeName -> ShowS [PendingNodeName] -> ShowS PendingNodeName -> String (Int -> PendingNodeName -> ShowS) -> (PendingNodeName -> String) -> ([PendingNodeName] -> ShowS) -> Show PendingNodeName forall a. (Int -> a -> ShowS) -> (a -> String) -> ([a] -> ShowS) -> Show a showList :: [PendingNodeName] -> ShowS $cshowList :: [PendingNodeName] -> ShowS show :: PendingNodeName -> String $cshow :: PendingNodeName -> String showsPrec :: Int -> PendingNodeName -> ShowS $cshowsPrec :: Int -> PendingNodeName -> ShowS </span><span class="hs-identifier hs-var hs-var hs-var hs-var hs-var hs-var hs-var hs-var">Show</span></span></span></span></span><span class="hs-special">)</span><span> </span><span id="line-93"></span><span> </span><span id="line-94"></span><span class="hs-keyword">instance</span><span> </span><span class="annot"><span class="hs-identifier hs-type">IsString</span></span><span> </span><span class="annot"><a href="TensorFlow.Output.html#PendingNodeName"><span class="hs-identifier hs-type">PendingNodeName</span></a></span><span> </span><span class="hs-keyword">where</span><span> </span><span id="line-95"></span><span> </span><span id="local-6989586621679165029"><span class="annot"><span class="annottext">fromString :: String -> PendingNodeName </span><span class="hs-identifier hs-var hs-var hs-var hs-var">fromString</span></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">Text -> PendingNodeName </span><a href="TensorFlow.Output.html#ExplicitName"><span class="hs-identifier hs-var">ExplicitName</span></a></span><span> </span><span class="annot"><span class="annottext">(Text -> PendingNodeName) -> (String -> Text) -> String -> PendingNodeName 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">String -> Text forall a. IsString a => String -> a </span><span class="hs-identifier hs-var">fromString</span></span><span> </span><span id="line-96"></span><span> </span><span id="line-97"></span><span class="hs-comment">-- | The name of a node in the graph. This corresponds to the proto field</span><span> </span><span id="line-98"></span><span class="hs-comment">-- NodeDef.name. Includes the scope prefix (if any) and a unique identifier</span><span> </span><span id="line-99"></span><span class="hs-comment">-- (if the node was implicitly named).</span><span> </span><span id="line-100"></span><span class="hs-keyword">newtype</span><span> </span><span id="NodeName"><span class="annot"><a href="TensorFlow.Output.html#NodeName"><span class="hs-identifier hs-var">NodeName</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span id="NodeName"><span class="annot"><a href="TensorFlow.Output.html#NodeName"><span class="hs-identifier hs-var">NodeName</span></a></span></span><span> </span><span class="hs-special">{</span><span> </span><span id="unNodeName"><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><span> </span><span class="hs-glyph">::</span><span> </span><span class="annot"><span class="hs-identifier hs-type">Text</span></span><span> </span><span class="hs-special">}</span><span> </span><span id="line-101"></span><span> </span><span class="hs-keyword">deriving</span><span> </span><span class="hs-special">(</span><span id="local-6989586621679165023"><span id="local-6989586621679165025"><span class="annot"><span class="annottext">NodeName -> NodeName -> Bool (NodeName -> NodeName -> Bool) -> (NodeName -> NodeName -> Bool) -> Eq NodeName forall a. (a -> a -> Bool) -> (a -> a -> Bool) -> Eq a /= :: NodeName -> NodeName -> Bool $c/= :: NodeName -> NodeName -> Bool == :: NodeName -> NodeName -> Bool $c== :: NodeName -> NodeName -> Bool </span><span class="hs-identifier hs-var hs-var hs-var hs-var hs-var hs-var">Eq</span></span></span></span><span class="hs-special">,</span><span> </span><span id="local-6989586621679165008"><span id="local-6989586621679165010"><span id="local-6989586621679165012"><span id="local-6989586621679165014"><span id="local-6989586621679165016"><span id="local-6989586621679165018"><span id="local-6989586621679165020"><span class="annot"><span class="annottext">Eq NodeName Eq NodeName => (NodeName -> NodeName -> Ordering) -> (NodeName -> NodeName -> Bool) -> (NodeName -> NodeName -> Bool) -> (NodeName -> NodeName -> Bool) -> (NodeName -> NodeName -> Bool) -> (NodeName -> NodeName -> NodeName) -> (NodeName -> NodeName -> NodeName) -> Ord NodeName NodeName -> NodeName -> Bool NodeName -> NodeName -> Ordering NodeName -> NodeName -> NodeName forall a. Eq a => (a -> a -> Ordering) -> (a -> a -> Bool) -> (a -> a -> Bool) -> (a -> a -> Bool) -> (a -> a -> Bool) -> (a -> a -> a) -> (a -> a -> a) -> Ord a min :: NodeName -> NodeName -> NodeName $cmin :: NodeName -> NodeName -> NodeName max :: NodeName -> NodeName -> NodeName $cmax :: NodeName -> NodeName -> NodeName >= :: NodeName -> NodeName -> Bool $c>= :: NodeName -> NodeName -> Bool > :: NodeName -> NodeName -> Bool $c> :: NodeName -> NodeName -> Bool <= :: NodeName -> NodeName -> Bool $c<= :: NodeName -> NodeName -> Bool < :: NodeName -> NodeName -> Bool $c< :: NodeName -> NodeName -> Bool compare :: NodeName -> NodeName -> Ordering $ccompare :: NodeName -> NodeName -> Ordering $cp1Ord :: Eq NodeName </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 hs-var hs-var hs-var hs-var">Ord</span></span></span></span></span></span></span></span></span><span class="hs-special">,</span><span> </span><span id="local-6989586621679165002"><span id="local-6989586621679165004"><span id="local-6989586621679165006"><span class="annot"><span class="annottext">Int -> NodeName -> ShowS [NodeName] -> ShowS NodeName -> String (Int -> NodeName -> ShowS) -> (NodeName -> String) -> ([NodeName] -> ShowS) -> Show NodeName forall a. (Int -> a -> ShowS) -> (a -> String) -> ([a] -> ShowS) -> Show a showList :: [NodeName] -> ShowS $cshowList :: [NodeName] -> ShowS show :: NodeName -> String $cshow :: NodeName -> String showsPrec :: Int -> NodeName -> ShowS $cshowsPrec :: Int -> NodeName -> ShowS </span><span class="hs-identifier hs-var hs-var hs-var hs-var hs-var hs-var hs-var hs-var">Show</span></span></span></span></span><span class="hs-special">)</span><span> </span><span id="line-102"></span><span> </span><span id="line-103"></span><span class="annot"><a href="TensorFlow.Output.html#opName"><span class="hs-identifier hs-type">opName</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.Output.html#OpDef"><span class="hs-identifier hs-type">OpDef</span></a></span><span> </span><span class="annot"><a href="TensorFlow.Output.html#PendingNodeName"><span class="hs-identifier hs-type">PendingNodeName</span></a></span><span> </span><span id="line-104"></span><span id="opName"><span class="annot"><span class="annottext">opName :: LensLike' f OpDef PendingNodeName </span><a href="TensorFlow.Output.html#opName"><span class="hs-identifier hs-var hs-var">opName</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">(OpDef -> PendingNodeName) -> (OpDef -> PendingNodeName -> OpDef) -> Lens OpDef OpDef PendingNodeName PendingNodeName 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">OpDef -> PendingNodeName </span><a href="TensorFlow.Output.html#_opName"><span class="hs-identifier hs-var hs-var">_opName</span></a></span><span> </span><span class="hs-special">(</span><span class="hs-glyph">\</span><span id="local-6989586621679165001"><span class="annot"><span class="annottext">o :: OpDef </span><a href="#local-6989586621679165001"><span class="hs-identifier hs-var">o</span></a></span></span><span> </span><span id="local-6989586621679165000"><span class="annot"><span class="annottext">x :: PendingNodeName </span><a href="#local-6989586621679165000"><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">OpDef </span><a href="#local-6989586621679165001"><span class="hs-identifier hs-var">o</span></a></span><span> </span><span class="hs-special">{</span><span class="annot"><span class="annottext">_opName :: PendingNodeName </span><a href="TensorFlow.Output.html#_opName"><span class="hs-identifier hs-var">_opName</span></a></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">PendingNodeName </span><a href="#local-6989586621679165000"><span class="hs-identifier hs-var">x</span></a></span><span class="hs-special">}</span><span class="hs-special">)</span><span> </span><span id="line-105"></span><span> </span><span id="line-106"></span><span class="annot"><a href="TensorFlow.Output.html#opType"><span class="hs-identifier hs-type">opType</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.Output.html#OpDef"><span class="hs-identifier hs-type">OpDef</span></a></span><span> </span><span class="annot"><a href="TensorFlow.Output.html#OpType"><span class="hs-identifier hs-type">OpType</span></a></span><span> </span><span id="line-107"></span><span id="opType"><span class="annot"><span class="annottext">opType :: LensLike' f OpDef OpType </span><a href="TensorFlow.Output.html#opType"><span class="hs-identifier hs-var hs-var">opType</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">(OpDef -> OpType) -> (OpDef -> OpType -> OpDef) -> Lens OpDef OpDef OpType OpType 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">OpDef -> OpType </span><a href="TensorFlow.Output.html#_opType"><span class="hs-identifier hs-var hs-var">_opType</span></a></span><span> </span><span class="hs-special">(</span><span class="hs-glyph">\</span><span id="local-6989586621679164999"><span class="annot"><span class="annottext">o :: OpDef </span><a href="#local-6989586621679164999"><span class="hs-identifier hs-var">o</span></a></span></span><span> </span><span id="local-6989586621679164998"><span class="annot"><span class="annottext">x :: OpType </span><a href="#local-6989586621679164998"><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">OpDef </span><a href="#local-6989586621679164999"><span class="hs-identifier hs-var">o</span></a></span><span> </span><span class="hs-special">{</span><span> </span><span class="annot"><span class="annottext">_opType :: OpType </span><a href="TensorFlow.Output.html#_opType"><span class="hs-identifier hs-var">_opType</span></a></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">OpType </span><a href="#local-6989586621679164998"><span class="hs-identifier hs-var">x</span></a></span><span class="hs-special">}</span><span class="hs-special">)</span><span> </span><span id="line-108"></span><span> </span><span id="line-109"></span><span id="local-6989586621679164997"><span class="annot"><a href="TensorFlow.Output.html#opAttr"><span class="hs-identifier hs-type">opAttr</span></a></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="annot"><a href="TensorFlow.Types.html#Attribute"><span class="hs-identifier hs-type">Attribute</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679164997"><span class="hs-identifier hs-type">a</span></a></span><span> </span><span class="hs-glyph">=></span><span> </span><span class="annot"><span class="hs-identifier hs-type">Text</span></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.Output.html#OpDef"><span class="hs-identifier hs-type">OpDef</span></a></span><span> </span><span class="annot"><a href="#local-6989586621679164997"><span class="hs-identifier hs-type">a</span></a></span></span><span> </span><span id="line-110"></span><span id="opAttr"><span class="annot"><span class="annottext">opAttr :: Text -> Lens' OpDef a </span><a href="TensorFlow.Output.html#opAttr"><span class="hs-identifier hs-var hs-var">opAttr</span></a></span></span><span> </span><span id="local-6989586621679164996"><span class="annot"><span class="annottext">n :: Text </span><a href="#local-6989586621679164996"><span class="hs-identifier hs-var">n</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">(OpDef -> Map Text AttrValue) -> (OpDef -> Map Text AttrValue -> OpDef) -> Lens OpDef OpDef (Map Text AttrValue) (Map Text AttrValue) 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">OpDef -> Map Text AttrValue </span><a href="TensorFlow.Output.html#_opAttrs"><span class="hs-identifier hs-var hs-var">_opAttrs</span></a></span><span> </span><span class="hs-special">(</span><span class="hs-glyph">\</span><span id="local-6989586621679164995"><span class="annot"><span class="annottext">o :: OpDef </span><a href="#local-6989586621679164995"><span class="hs-identifier hs-var">o</span></a></span></span><span> </span><span id="local-6989586621679164994"><span class="annot"><span class="annottext">x :: Map Text AttrValue </span><a href="#local-6989586621679164994"><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">OpDef </span><a href="#local-6989586621679164995"><span class="hs-identifier hs-var">o</span></a></span><span> </span><span class="hs-special">{</span><span class="annot"><span class="annottext">_opAttrs :: Map Text AttrValue </span><a href="TensorFlow.Output.html#_opAttrs"><span class="hs-identifier hs-var">_opAttrs</span></a></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">Map Text AttrValue </span><a href="#local-6989586621679164994"><span class="hs-identifier hs-var">x</span></a></span><span class="hs-special">}</span><span class="hs-special">)</span><span> </span><span id="line-111"></span><span> </span><span class="annot"><span class="annottext">LensLike f OpDef OpDef (Map Text AttrValue) (Map Text AttrValue) -> ((a -> f a) -> Map Text AttrValue -> f (Map Text AttrValue)) -> (a -> f a) -> OpDef -> f OpDef 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">(Map Text AttrValue -> AttrValue) -> (Map Text AttrValue -> AttrValue -> Map Text AttrValue) -> Lens (Map Text AttrValue) (Map Text AttrValue) AttrValue AttrValue 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="hs-special">(</span><span class="annot"><span class="annottext">AttrValue -> Text -> Map Text AttrValue -> AttrValue forall k a. Ord k => a -> k -> Map k a -> a </span><span class="hs-identifier hs-var">Map.findWithDefault</span></span><span> </span><span class="annot"><span class="annottext">AttrValue forall msg. Message msg => msg </span><span class="hs-identifier hs-var">defMessage</span></span><span> </span><span class="annot"><span class="annottext">Text </span><a href="#local-6989586621679164996"><span class="hs-identifier hs-var">n</span></a></span><span class="hs-special">)</span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">(AttrValue -> Map Text AttrValue -> Map Text AttrValue) -> Map Text AttrValue -> AttrValue -> Map Text AttrValue forall a b c. (a -> b -> c) -> b -> a -> c </span><span class="hs-identifier hs-var">flip</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">Text -> AttrValue -> Map Text AttrValue -> Map Text AttrValue forall k a. Ord k => k -> a -> Map k a -> Map k a </span><span class="hs-identifier hs-var">Map.insert</span></span><span> </span><span class="annot"><span class="annottext">Text </span><a href="#local-6989586621679164996"><span class="hs-identifier hs-var">n</span></a></span><span class="hs-special">)</span><span class="hs-special">)</span><span> </span><span id="line-112"></span><span> </span><span class="annot"><span class="annottext">LensLike f (Map Text AttrValue) (Map Text AttrValue) AttrValue AttrValue -> ((a -> f a) -> AttrValue -> f AttrValue) -> (a -> f a) -> Map Text AttrValue -> f (Map Text AttrValue) 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">(a -> f a) -> AttrValue -> f AttrValue forall a. Attribute a => Lens' AttrValue a </span><a href="TensorFlow.Types.html#attrLens"><span class="hs-identifier hs-var">attrLens</span></a></span><span> </span><span id="line-113"></span><span> </span><span id="line-114"></span><span class="annot"><a href="TensorFlow.Output.html#opInputs"><span class="hs-identifier hs-type">opInputs</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.Output.html#OpDef"><span class="hs-identifier hs-type">OpDef</span></a></span><span> </span><span class="hs-special">[</span><span class="annot"><a href="TensorFlow.Output.html#Output"><span class="hs-identifier hs-type">Output</span></a></span><span class="hs-special">]</span><span> </span><span id="line-115"></span><span id="opInputs"><span class="annot"><span class="annottext">opInputs :: LensLike' f OpDef [Output] </span><a href="TensorFlow.Output.html#opInputs"><span class="hs-identifier hs-var hs-var">opInputs</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">(OpDef -> [Output]) -> (OpDef -> [Output] -> OpDef) -> Lens OpDef OpDef [Output] [Output] 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">OpDef -> [Output] </span><a href="TensorFlow.Output.html#_opInputs"><span class="hs-identifier hs-var hs-var">_opInputs</span></a></span><span> </span><span class="hs-special">(</span><span class="hs-glyph">\</span><span id="local-6989586621679164990"><span class="annot"><span class="annottext">o :: OpDef </span><a href="#local-6989586621679164990"><span class="hs-identifier hs-var">o</span></a></span></span><span> </span><span id="local-6989586621679164989"><span class="annot"><span class="annottext">x :: [Output] </span><a href="#local-6989586621679164989"><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">OpDef </span><a href="#local-6989586621679164990"><span class="hs-identifier hs-var">o</span></a></span><span> </span><span class="hs-special">{</span><span class="annot"><span class="annottext">_opInputs :: [Output] </span><a href="TensorFlow.Output.html#_opInputs"><span class="hs-identifier hs-var">_opInputs</span></a></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">[Output] </span><a href="#local-6989586621679164989"><span class="hs-identifier hs-var">x</span></a></span><span class="hs-special">}</span><span class="hs-special">)</span><span> </span><span id="line-116"></span><span> </span><span id="line-117"></span><span class="annot"><a href="TensorFlow.Output.html#opControlInputs"><span class="hs-identifier hs-type">opControlInputs</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.Output.html#OpDef"><span class="hs-identifier hs-type">OpDef</span></a></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 id="line-118"></span><span id="opControlInputs"><span class="annot"><span class="annottext">opControlInputs :: LensLike' f OpDef [NodeName] </span><a href="TensorFlow.Output.html#opControlInputs"><span class="hs-identifier hs-var hs-var">opControlInputs</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">(OpDef -> [NodeName]) -> (OpDef -> [NodeName] -> OpDef) -> Lens OpDef OpDef [NodeName] [NodeName] 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">OpDef -> [NodeName] </span><a href="TensorFlow.Output.html#_opControlInputs"><span class="hs-identifier hs-var hs-var">_opControlInputs</span></a></span><span> </span><span class="hs-special">(</span><span class="hs-glyph">\</span><span id="local-6989586621679164988"><span class="annot"><span class="annottext">o :: OpDef </span><a href="#local-6989586621679164988"><span class="hs-identifier hs-var">o</span></a></span></span><span> </span><span id="local-6989586621679164987"><span class="annot"><span class="annottext">x :: [NodeName] </span><a href="#local-6989586621679164987"><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">OpDef </span><a href="#local-6989586621679164988"><span class="hs-identifier hs-var">o</span></a></span><span> </span><span class="hs-special">{</span><span class="annot"><span class="annottext">_opControlInputs :: [NodeName] </span><a href="TensorFlow.Output.html#_opControlInputs"><span class="hs-identifier hs-var">_opControlInputs</span></a></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">[NodeName] </span><a href="#local-6989586621679164987"><span class="hs-identifier hs-var">x</span></a></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">-- TODO(gnezdo): IsString instance is weird and we should move that</span><span> </span><span id="line-121"></span><span class="hs-comment">-- code into a Build function</span><span> </span><span id="line-122"></span><span class="hs-keyword">instance</span><span> </span><span class="annot"><span class="hs-identifier hs-type">IsString</span></span><span> </span><span class="annot"><a href="TensorFlow.Output.html#Output"><span class="hs-identifier hs-type">Output</span></a></span><span> </span><span class="hs-keyword">where</span><span> </span><span id="line-123"></span><span> </span><span id="local-6989586621679164985"><span class="annot"><span class="annottext">fromString :: String -> Output </span><span class="hs-identifier hs-var hs-var hs-var hs-var">fromString</span></span></span><span> </span><span id="local-6989586621679164984"><span class="annot"><span class="annottext">s :: String </span><a href="#local-6989586621679164984"><span class="hs-identifier hs-var">s</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="hs-keyword">case</span><span> </span><span class="annot"><span class="annottext">(Char -> Bool) -> String -> (String, String) forall a. (a -> Bool) -> [a] -> ([a], [a]) </span><span class="hs-identifier hs-var">break</span></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">Char -> Char -> Bool forall a. Eq a => a -> a -> Bool </span><span class="hs-operator hs-var">==</span></span><span class="annot"><span class="hs-char">':'</span></span><span class="hs-special">)</span><span> </span><span class="annot"><span class="annottext">String </span><a href="#local-6989586621679164984"><span class="hs-identifier hs-var">s</span></a></span><span> </span><span class="hs-keyword">of</span><span> </span><span id="line-124"></span><span> </span><span class="hs-special">(</span><span id="local-6989586621679164982"><span class="annot"><span class="annottext">n :: String </span><a href="#local-6989586621679164982"><span class="hs-identifier hs-var">n</span></a></span></span><span class="hs-special">,</span><span> </span><span class="hs-char">':'</span><span class="annot"><span class="hs-glyph hs-type">:</span></span><span id="local-6989586621679164981"><span class="annot"><span class="annottext">ixStr :: String </span><a href="#local-6989586621679164981"><span class="hs-identifier hs-var">ixStr</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="hs-special">(</span><span id="local-6989586621679164980"><span class="annot"><span class="annottext">ix :: Integer </span><a href="#local-6989586621679164980"><span class="hs-identifier hs-var">ix</span></a></span></span><span class="hs-special">,</span><span> </span><span class="annot"><span class="annottext">String </span><span class="hs-string">""</span></span><span> </span><span class="hs-glyph">::</span><span> </span><span class="annot"><span class="hs-identifier hs-type">String</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="annottext">String -> [(Integer, String)] forall a. Read a => String -> a </span><span class="hs-identifier hs-var">read</span></span><span> </span><span class="annot"><span class="annottext">String </span><a href="#local-6989586621679164981"><span class="hs-identifier hs-var">ixStr</span></a></span><span> </span><span id="line-125"></span><span> </span><span class="hs-glyph">-></span><span> </span><span class="annot"><span class="annottext">OutputIx -> NodeName -> Output </span><a href="TensorFlow.Output.html#Output"><span class="hs-identifier hs-var">Output</span></a></span><span> </span><span class="hs-special">(</span><span class="annot"><span class="annottext">Integer -> OutputIx forall a. Num a => Integer -> a </span><span class="hs-identifier hs-var">fromInteger</span></span><span> </span><span class="annot"><span class="annottext">Integer </span><a href="#local-6989586621679164980"><span class="hs-identifier hs-var">ix</span></a></span><span class="hs-special">)</span><span> </span><span class="annot"><span class="annottext">(NodeName -> Output) -> NodeName -> Output forall a b. (a -> b) -> a -> b </span><span class="hs-operator hs-var">$</span></span><span> </span><span class="annot"><span class="annottext">String -> NodeName </span><a href="#local-6989586621679164978"><span class="hs-identifier hs-var">assigned</span></a></span><span> </span><span class="annot"><span class="annottext">String </span><a href="#local-6989586621679164982"><span class="hs-identifier hs-var">n</span></a></span><span> </span><span id="line-126"></span><span> </span><span class="hs-identifier">_</span><span> </span><span class="hs-glyph">-></span><span> </span><span class="annot"><span class="annottext">OutputIx -> NodeName -> Output </span><a href="TensorFlow.Output.html#Output"><span class="hs-identifier hs-var">Output</span></a></span><span> </span><span class="annot"><span class="hs-number">0</span></span><span> </span><span class="annot"><span class="annottext">(NodeName -> Output) -> NodeName -> Output forall a b. (a -> b) -> a -> b </span><span class="hs-operator hs-var">$</span></span><span> </span><span class="annot"><span class="annottext">String -> NodeName </span><a href="#local-6989586621679164978"><span class="hs-identifier hs-var">assigned</span></a></span><span> </span><span class="annot"><span class="annottext">String </span><a href="#local-6989586621679164984"><span class="hs-identifier hs-var">s</span></a></span><span> </span><span id="line-127"></span><span> </span><span class="hs-keyword">where</span><span> </span><span id="local-6989586621679164978"><span class="annot"><span class="annottext">assigned :: String -> NodeName </span><a href="#local-6989586621679164978"><span class="hs-identifier hs-var hs-var">assigned</span></a></span></span><span> </span><span class="hs-glyph">=</span><span> </span><span class="annot"><span class="annottext">Text -> NodeName </span><a href="TensorFlow.Output.html#NodeName"><span class="hs-identifier hs-var">NodeName</span></a></span><span> </span><span class="annot"><span class="annottext">(Text -> NodeName) -> (String -> Text) -> String -> NodeName 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">String -> Text </span><span class="hs-identifier hs-var">Text.pack</span></span><span> </span><span id="line-128"></span></pre></body></html>