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Posted to commits@opennlp.apache.org by jo...@apache.org on 2018/05/30 10:20:15 UTC

[opennlp-sandbox] branch master updated: Adjust operation names to namefinder.py

This is an automated email from the ASF dual-hosted git repository.

joern pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/opennlp-sandbox.git


The following commit(s) were added to refs/heads/master by this push:
     new bd30e1a  Adjust operation names to namefinder.py
bd30e1a is described below

commit bd30e1a19e13e9677762b7cb4915c83e4feb9b17
Author: Jörn Kottmann <jo...@apache.org>
AuthorDate: Wed May 30 12:11:30 2018 +0200

    Adjust operation names to namefinder.py
---
 .../opennlp/tf/guillaumegenthial/SequenceTagging.java      | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/tf-ner-poc/src/main/java/org/apache/opennlp/tf/guillaumegenthial/SequenceTagging.java b/tf-ner-poc/src/main/java/org/apache/opennlp/tf/guillaumegenthial/SequenceTagging.java
index 653b58a..637ccec 100644
--- a/tf-ner-poc/src/main/java/org/apache/opennlp/tf/guillaumegenthial/SequenceTagging.java
+++ b/tf-ner-poc/src/main/java/org/apache/opennlp/tf/guillaumegenthial/SequenceTagging.java
@@ -61,15 +61,15 @@ public class SequenceTagging implements AutoCloseable {
     FeedDictionary fd = FeedDictionary.create(tokenIds);
 
     List<Tensor<?>> run = session.runner()
-            .feed("char_ids:0", fd.getCharIdsTensor())
-            .feed("dropout:0", fd.getDropoutTensor())
-            .feed("sequence_lengths:0", fd.getSentenceLengthsTensor())
-            .feed("word_ids:0", fd.getWordIdsTensor())
-            .feed("word_lengths:0", fd.getWordLengthsTensor())
-            .fetch("proj/logits", 0)
+            .feed("chars/char_ids:0", fd.getCharIdsTensor())
+            // TODO: missing in the python code ...
+            //.feed("dropout:0", fd.getDropoutTensor())
+            .feed("words/sequence_lengths:0", fd.getSentenceLengthsTensor())
+            .feed("words/word_ids:0", fd.getWordIdsTensor())
+            .feed("chars/word_lengths:0", fd.getWordLengthsTensor())
+            .fetch("logits", 0)
             .fetch("trans_params", 0).run();
 
-
     float[][][] logits = new float[fd.getNumberOfSentences()][fd.getMaxSentenceLength()][indexTagger.getNumberOfTags()];
     run.get(0).copyTo(logits);
 

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