rename sparse_vector to sparse_float_vector in tests

paddle/gserver/tests/test_PyDataProvider2.py

@@ -51,7 +51,10 @@ def test_sparse_non_value_no_seq(setting, filename):
         yield [(i + 1) * (j + 1) for j in xrange(10)]
 
 
-@provider(input_types=[sparse_vector(30000, seq_type=SequenceType.NO_SEQUENCE)])
+@provider(input_types=[
+    sparse_float_vector(
+        30000, seq_type=SequenceType.NO_SEQUENCE)
+])
 def test_sparse_value_no_seq(setting, filename):
     for i in xrange(200):
         yield [((i + 1) * (j + 1), float(j) / float(i + 1)) for j in xrange(10)]

python/paddle/trainer/PyDataProvider2.py

@@ -216,7 +216,7 @@ def sparse_binary_vector_sub_sequence(dim):
     return sparse_binary_vector(dim, seq_type=SequenceType.SUB_SEQUENCE)
 
 
-def sparse_vector_sequence(dim):
+def sparse_float_vector_sequence(dim):
     """
     Data type of a sequence of sparse vector, which most elements are zero,
     others could be any float value.
@@ -226,11 +226,11 @@ def sparse_vector_sequence(dim):
     :return: An input type object
     :rtype: InputType
     """
-    return sparse_vector(dim, seq_type=SequenceType.SEQUENCE)
+    return sparse_float_vector(dim, seq_type=SequenceType.SEQUENCE)
 
 
-def sparse_vector_sub_sequence(dim):
-    return sparse_vector(dim, seq_type=SequenceType.SUB_SEQUENCE)
+def sparse_float_vector_sub_sequence(dim):
+    return sparse_float_vector(dim, seq_type=SequenceType.SUB_SEQUENCE)
 
 
 def integer_value_sequence(value_range):

python/paddle/v2/tests/test_data_feeder.py

@@ -97,7 +97,7 @@ class DataFeederTest(unittest.TestCase):
             each_sample.append(zip(a, b))
             data.append(each_sample)
 
-        feeder = DataFeeder([('input', data_type.sparse_vector(dim))],
+        feeder = DataFeeder([('input', data_type.sparse_float_vector(dim))],
                             {'input': 0})
         arg = feeder(data)
         output = arg.getSlotValue(0)