Can't run tutorial_parser.ipynb on GPU

[Quan (Andy) Gan]

When I pasted all the contents into a single Python file and run the following:

python parser.py --dynet-gpus 1 --dynet-mem 10000

It throws the following Not Implemented error:

[dynet] initializing CUDA
Request for 1 GPU ...
[dynet] Device Number: 0
[dynet]   Device name: Tesla K80
[dynet]   Memory Clock Rate (KHz): 2505000
[dynet]   Memory Bus Width (bits): 384
[dynet]   Peak Memory Bandwidth (GB/s): 240.48
[dynet]   Memory Free (GB): 11.927/11.9956
[dynet]
[dynet] Device(s) selected: 0
[dynet] random seed: 3589591803
[dynet] allocating memory: 10000MB
[dynet] memory allocation done.
Traceback (most recent call last):
  File "parser.py", line 206, in <module>
    dev_loss += loss.scalar_value()
  File "_gdynet.pyx", line 947, in _gdynet.Expression.scalar_value (_gdynet.cpp:23604)
    cpdef scalar_value(self, recalculate=False):
  File "_gdynet.pyx", line 960, in _gdynet.Expression.scalar_value (_gdynet.cpp:23509)
    return c_as_scalar(self.cgp().get_value(self.vindex))
RuntimeError: RestrictedLogSoftmax not yet implemented for CUDA (contributions welcome!)

Does that mean this notebook can only run on CPU for now?