Pycaffe error with labels

[Prabhu]

Why is this?
My model trained input hd5 data shape is 100,1,96,96 and labels (100,30)

net = caffe.Net(MODEL_FILE,PRETRAINED)
net.set_mode_cpu()
data4D = np.zeros([max_value,1,96,96],np.float32)
data4DL = np.zeros([max_value,30,1,1], np.float32)
data4D[0:max_value,:] = X[:1000,:,:,:]
net.set_input_arrays(data4D.astype(np.float32),data4DL.astype(np.float32))
net.forward()

produces when i set 30 dimensions in labels.

Traceback (most recent call last):
  File "output.py", line 51, in <module>
    net.set_input_arrays(data4D.astype(np.float32),data4DL.astype(np.float32))
  File "/home/pbu/Desktop/caffe/python/caffe/pycaffe.py", line 345, in _Net_set_input_arrays
    return self._set_input_arrays(data, labels)
RuntimeError: labels array has wrong number of channels

[Hongji Wang]

Have you fixed this error? If so, please share. Thanks