Removed functional code form assert statements, since they are remove…

…d while running in optimized mode (python -OO) causing the network not being trained

wrapper/cxxnet.py

@@ -35,7 +35,8 @@ def ctypes2numpy(cptr, length, dtype=numpy.float32):
  """convert a ctypes pointer array to numpy array """
  #assert isinstance(cptr, ctypes.POINTER(ctypes.c_float))
  res = numpy.zeros(length, dtype=dtype)
- assert ctypes.memmove(res.ctypes.data, cptr, length * res.strides[0])
+ if not ctypes.memmove(res.ctypes.data, cptr, length * res.strides[0]):
+ raise AssertionError('ctypes.memmove failed')
  return res
 
 def ctypes2numpyT(cptr, shape, dtype=numpy.float32, stride = None):
@@ -45,11 +46,13 @@ def ctypes2numpyT(cptr, shape, dtype=numpy.float32, stride = None):
  size *= x
  if stride is None:
  res = numpy.zeros(size, dtype=dtype)
- assert ctypes.memmove(res.ctypes.data, cptr, size * res.strides[0])
+ if not ctypes.memmove(res.ctypes.data, cptr, size * res.strides[0]):
+ raise AssertionError('ctypes.memmove failed')
  else:
  dsize = size / shape[-1] * stride
  res = numpy.zeros(dsize, dtype=dtype)
- assert ctypes.memmove(res.ctypes.data, cptr, dsize * res.strides[0])
+ if not ctypes.memmove(res.ctypes.data, cptr, dsize * res.strides[0]):
+ raise AssertionError('ctypes.memmove failed')
  res = res.reshape((dsize / shape[-1], shape[-1]))
  res = res[:, 0 :shape[-1]]
  return res.reshape(shape)