rm utils.py

fluid/DeepASR/utils.py

-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
-import numpy as np
-import argparse
-
-
-def print_arguments(args):
-    print('-----------  Configuration Arguments -----------')
-    for arg, value in sorted(vars(args).iteritems()):
-        print('%s: %s' % (arg, value))
-    print('------------------------------------------------')
-
-
-def lodtensor_to_ndarray(lod_tensor):
-    dims = lod_tensor.get_dims()
-    ret = np.zeros(shape=dims).astype('float32')
-    for i in xrange(np.product(dims)):
-        ret.ravel()[i] = lod_tensor.get_float_element(i)
-    return ret, lod_tensor.lod()