Remove variable scope to not break compatibility with the EnDe checkp…

…oint

opennmt/decoders/decoder.py

@@ -60,10 +60,9 @@ def build_output_layer(num_units, vocab_size, dtype=None):
   if vocab_size is None:
     raise ValueError("vocab_size must be set to build the output layer")
 
-  with tf.variable_scope("projection"):
-    layer = tf.layers.Dense(vocab_size, use_bias=True, dtype=dtype)
-    layer.build([None, num_units])
-    return layer
+  layer = tf.layers.Dense(vocab_size, use_bias=True, dtype=dtype)
+  layer.build([None, num_units])
+  return layer
 
 def get_sampling_probability(global_step,
                              read_probability=None,

scripts/wmt/README.md

@@ -37,10 +37,10 @@ cd scripts/wmt
 
 ## Lazy run...
 
-* Pre-tokenized SentencePiece dataset: https://s3.amazonaws.com/opennmt-trainingdata/wmt_ende_sp.tar.gz
+* [Pre-tokenized SentencePiece dataset](https://s3.amazonaws.com/opennmt-trainingdata/wmt_ende_sp.tar.gz)
 * Pre-trained averaged model:
-  * checkpoint: https://s3.amazonaws.com/opennmt-models/averaged-ende-ckpt500k.tar.gz (compatible with [OpenNMT-tf@105d260b](https://github.com/OpenNMT/OpenNMT-tf/commit/105d260b034bfaad3814deb1244a97d2b4102301))
-  * export: https://s3.amazonaws.com/opennmt-models/averaged-ende-export500k.tar.gz
+  * [checkpoint](https://s3.amazonaws.com/opennmt-models/averaged-ende-ckpt500k.tar.gz)
+  * [export](https://s3.amazonaws.com/opennmt-models/averaged-ende-export500k.tar.gz)
 
 This model achieved the following scores: