Fix bugs of mt_with_external_memory

mt_with_external_memory/README.md

@@ -58,7 +58,7 @@
 （详情请参考论文\[[1](#参考文献)\]）。根据寻址情况，图灵机写入 $M$ 或从 $M$ 读出信息，供其他网络使用。神经图灵机结构示意图，见图3，引自\[[1](#参考文献)\]。
 
 <div align="center">
-<img src="image/neural_turing_machine_arch.png"><br/>
+<img src="image/neural_turing_machine_arch.png" width="400"><br/>
 图3. 神经图灵机结构示意图
 </div>
 
@@ -440,15 +440,15 @@ python infer.py
 或自定义部分参数, 例如:
 
 ```bash
-python train.py \
+python infer.py \
 --dict_size 30000 \
 --word_vec_dim 512 \
 --hidden_size 1024 \
 --memory_slot_num 8 \
 --use_gpu False \
 --trainer_count 1 \
 --memory_perturb_stddev 0.1 \
---infer_num_data 10 \
+--infer_data_num 10 \
 --model_filepath checkpoints/params.latest.tar.gz \
 --beam_size 3
 ```

mt_with_external_memory/external_memory.py

@@ -113,7 +113,7 @@ def _interpolation(self, head_name, key_vector, addressing_weight):
             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()