with
--- a/tutorial_rnnlm.py
+++ b/tutorial_rnnlm.py
@@ -6,8 +6,8 @@ import dynet as dy
import numpy as np

format of files: each line is "word1/tag2 word2/tag2 ..."

-train_file="CHAR_TRAIN"
-test_file="CHAR_DEV"
+train_file=r"data/small-train.txt"
+test_file=r"data/small-test.txt"

I run:

rzai@rzai00:/prj/dynet_tutorial_examples$ python tutorial_rnnlm.py
[dynet] random seed: 3680189036
[dynet] allocating memory: 512MB
[dynet] memory allocation done.
[epoch=0 eta=0.001 clips=499 updates=499] 3.59679303528
[epoch=0 eta=0.001 clips=500 updates=500] 2.90541985253
[epoch=0 eta=0.001 clips=500 updates=500] 2.82589651857
[epoch=0 eta=0.001 clips=500 updates=500] 2.78318269468
[epoch=0 eta=0.001 clips=500 updates=500] 2.7271153855
[epoch=0 eta=0.001 clips=500 updates=500] 2.71135471952
[epoch=0 eta=0.001 clips=500 updates=500] 2.67784155937
[epoch=0 eta=0.001 clips=500 updates=500] 2.67465448101
[epoch=0 eta=0.001 clips=500 updates=500] 2.6514647308
[epoch=0 eta=0.001 clips=500 updates=500] 2.63369510998
[epoch=0 eta=0.001 clips=500 updates=500] 2.61760151217
[epoch=0 eta=0.001 clips=500 updates=500] 2.60906285933
[epoch=0 eta=0.001 clips=500 updates=500] 2.58898071744
[epoch=0 eta=0.001 clips=500 updates=500] 2.5481264534
[epoch=0 eta=0.001 clips=500 updates=500] 2.55303348667
[epoch=0 eta=0.001 clips=500 updates=500] 2.54707865508
[epoch=0 eta=0.001 clips=500 updates=500] 2.53384964483
[epoch=0 eta=0.001 clips=500 updates=500] 2.5381710203
[epoch=0 eta=0.001 clips=500 updates=500] 2.63992879771
Traceback (most recent call last):
File "tutorial_rnnlm.py", line 107, in
loss_exp = calc_lm_loss(sent)
File "tutorial_rnnlm.py", line 78, in calc_lm_loss
wids = [vw.w2i[w] for w in sent]
KeyError: 'closure'
rzai@rzai00:/prj/dynet_tutorial_examples$

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?

rzai@rzai00:/prj/dynet_tutorial_examples$ python tutorial_rnnlm_minibatch.py
[dynet] random seed: 1792663534
[dynet] allocating memory: 512MB
[dynet] memory allocation done.
Traceback (most recent call last):
File "tutorial_rnnlm_minibatch.py", line 39, in
train=list(read(train_file))
File "tutorial_rnnlm_minibatch.py", line 33, in read
with file(fname) as fh:
IOError: [Errno 2] No such file or directory: 'CHAR_TRAIN'
rzai@rzai00:/prj/dynet_tutorial_examples$