Fix floatX!=float32 in hdf5 creation

1 files changed, 4 insertions, 5 deletions

diff --git a/data/csv_to_hdf5.py b/data/csv_to_hdf5.py
index 17217f3..97cf428 100755
--- a/data/csv_to_hdf5.py
+++ b/data/csv_to_hdf5.py
@@ -7,7 +7,6 @@ import sys
 
 import h5py
 import numpy
-import theano
 from fuel.converters.base import fill_hdf5_file
 
 import data
@@ -32,8 +31,8 @@ def get_unique_origin_call(val):
 
 def read_stands(input_directory, h5file):
     stands_name = numpy.empty(shape=(data.stands_size,), dtype=('a', 24))
-    stands_latitude = numpy.empty(shape=(data.stands_size,), dtype=theano.config.floatX)
-    stands_longitude = numpy.empty(shape=(data.stands_size,), dtype=theano.config.floatX)
+    stands_latitude = numpy.empty(shape=(data.stands_size,), dtype=numpy.float32)
+    stands_longitude = numpy.empty(shape=(data.stands_size,), dtype=numpy.float32)
     stands_name[0] = 'None'
     stands_latitude[0] = stands_longitude[0] = 0
     with open(os.path.join(input_directory, 'metaData_taxistandsID_name_GPSlocation.csv'), 'r') as f:
@@ -77,8 +76,8 @@ def read_taxis(input_directory, h5file, dataset):
             day_type[id] = ord(line[6][0]) - ord('A')
             missing_data[id] = line[7][0] == 'T'
             polyline = ast.literal_eval(line[8])
-            latitude[id] = numpy.array([point[1] for point in polyline], dtype=theano.config.floatX)
-            longitude[id] = numpy.array([point[0] for point in polyline], dtype=theano.config.floatX)
+            latitude[id] = numpy.array([point[1] for point in polyline], dtype=numpy.float32)
+            longitude[id] = numpy.array([point[0] for point in polyline], dtype=numpy.float32)
             id+=1
     splits = ()
     print >> sys.stderr, 'read %s: writing' % dataset