Fix bugs of external_memory.py and infer.py

mt_with_external_memory/external_memory.py

@@ -113,7 +113,7 @@ class ExternalMemory(object):
             boot_layer=self.initial_weight)
         interpolated_weight = paddle.layer.interpolation(
             name=self.name + "_addressing_weight_" + head_name,
-            input=[addressing_weight, addressing_weight],
+            input=[last_addressing_weight, addressing_weight],
             weight=paddle.layer.expand(input=gate, expand_as=addressing_weight))
         return interpolated_weight
 

mt_with_external_memory/infer.py

@@ -4,6 +4,7 @@
 import distutils.util
 import argparse
 import gzip
+import random
 
 import paddle.v2 as paddle
 from external_memory import ExternalMemory
@@ -118,10 +119,11 @@ def infer():
     infer_data = []
     random.seed(0)  # for keeping consitancy for multiple runs
     bounded_memory_perturbation = [[
-        random.gauss(0, memory_perturb_stddev) for i in xrange(args.hidden_size)
+        random.gauss(0, args.memory_perturb_stddev)
+        for i in xrange(args.hidden_size)
     ] for j in xrange(args.memory_slot_num)]
     test_append_reader = reader_append_wrapper(
-        reader=paddle.dataset.wmt14.test(dict_size),
+        reader=paddle.dataset.wmt14.test(args.dict_size),
         append_tuple=(bounded_memory_perturbation, ))
     for i, item in enumerate(test_append_reader()):
         if i < args.infer_data_num:
@@ -134,8 +136,8 @@ def infer():
         input=infer_data,
         field=['prob', 'id'])
 
-    # parse beam result and print 
-    source_dict, target_dict = paddle.dataset.wmt14.get_dict(dict_size)
+    # parse beam result and print
+    source_dict, target_dict = paddle.dataset.wmt14.get_dict(args.dict_size)
     beam_probs, beam_sentences = parse_beam_search_result(beam_result,
                                                           target_dict)
     for i in xrange(args.infer_data_num):
@@ -147,7 +149,7 @@ def infer():
 
 
 def main():
-    paddle.init(use_gpu=False, trainer_count=1)
+    paddle.init(use_gpu=args.use_gpu, trainer_count=args.trainer_count)
     infer()