fix test_crf_decoding_op

Author: jacquesqiao

python/paddle/v2/fluid/tests/test_crf_decoding_op.py

@@ -20,14 +20,14 @@ def __init__(self, emission_weights, transition_weights,
         self.w = transition_weights[2:, :]
 
         self.track = np.zeros(
-            (seq_start_positions[-1], self.tag_num), dtype="int32")
+            (seq_start_positions[-1], self.tag_num), dtype="int64")
         self.decoded_path = np.zeros(
-            (seq_start_positions[-1], 1), dtype="int32")
+            (seq_start_positions[-1], 1), dtype="int64")
 
     def _decode_one_sequence(self, decoded_path, x):
         seq_len, tag_num = x.shape
         alpha = np.zeros((seq_len, tag_num), dtype="float64")
-        track = np.zeros((seq_len, tag_num), dtype="int32")
+        track = np.zeros((seq_len, tag_num), dtype="int64")
 
         for i in range(tag_num):
             alpha[0, i] = self.a[i] + x[0, i]
@@ -125,10 +125,10 @@ def setUp(self):
             axis=0)
 
         labels = np.random.randint(
-            low=0, high=TAG_NUM, size=(lod[-1][-1], 1), dtype="int32")
+            low=0, high=TAG_NUM, size=(lod[-1][-1], 1), dtype="int64")
         predicted_labels = np.ones(
-            (lod[-1][-1], 1), dtype="int32") * (TAG_NUM - 1)
-        expected_output = (labels == predicted_labels).astype("int32")
+            (lod[-1][-1], 1), dtype="int64") * (TAG_NUM - 1)
+        expected_output = (labels == predicted_labels).astype("int64")
 
         self.inputs = {
             "Emission": (emission, lod),