sample.lua fails to run: error in function addmm() about char-rnn HOT 15 OPEN

$ th inspect_checkpoint.lua cv/lm_lstm_epoch18.96_1.4228.t7 
using CUDA on GPU 0...  
opt:    
{
  max_epochs : 30
  seed : 123
  batch_size : 100
  gpuid : 0
  decay_rate : 0.95
  savefile : "lstm"
  model : "lstm"
  grad_clip : 5
  print_every : 1
  data_dir : "data/tinyshakespeare"
  seq_length : 50
  num_layers : 2
  rnn_size : 100
  train_frac : 0.95
  learning_rate : 0.002
  dropout : 0
  eval_val_every : 1000
  val_frac : 0.05
  checkpoint_dir : "cv"
}
val losses: 
{
  2000 : 1.5233611306277
  3000 : 1.4519253438169
  4000 : 1.4227915313027
  1000 : 1.7233323420178
}

th train.lua -data_dir data/tinyshakespeare/ -gpuid -1

loading data files...
cutting off end of data so that the batches/sequences divide evenly
reshaping tensor...
data load done. Number of data batches in train: 423, val: 23, test: 0
vocab size: 65
creating an lstm with 2 layers
number of parameters in the model: 240321
cloning rnn
cloning criterion
1/21150 (epoch 0.002), train_loss = 4.19766416, grad/param norm = 4.5006e-01, time/batch = 0.34s
2/21150 (epoch 0.005), train_loss = 4.10134056, grad/param norm = 6.3375e-01, time/batch = 0.28s
3/21150 (epoch 0.007), train_loss = 3.44502399, grad/param norm = 9.4798e-01, time/batch = 0.28s

th sample.lua cv/lm_lstm_epoch26.00_1.3900.t7 -gpuid -1
creating an lstm...
missing seed text, using uniform probability over first character
--------------------------
/usr/local/bin/luajit: /usr/local/share/lua/5.1/nn/Linear.lua:46: invalid arguments: DoubleTensor number DoubleTensor number FloatTensor DoubleTensor
expected arguments: *DoubleTensor~2D* [DoubleTensor~2D] [double] DoubleTensor~2D DoubleTensor~2D | *DoubleTensor~2D* double [DoubleTensor~2D] double DoubleTensor~2D DoubleTensor~2D
stack traceback:
        [C]: in function 'addmm'
        /usr/local/share/lua/5.1/nn/Linear.lua:46: in function 'func'
        /usr/local/share/lua/5.1/nngraph/gmodule.lua:253: in function 'neteval'
        /usr/local/share/lua/5.1/nngraph/gmodule.lua:288: in function 'forward'
        sample.lua:151: in main chunk
        [C]: in function 'dofile'
        /usr/local/lib/luarocks/rocks/trepl/scm-1/bin/th:131: in main chunk
        [C]: at 0x00406720

th inspect_checkpoint.lua cv/lm_lstm_epoch26.00_1.3900.t7 -gpuid -1
opt:
{
  max_epochs : 50
  seed : 123
  batch_size : 50
  gpuid : -1
  decay_rate : 0.95
  learning_rate_decay : 0.97
  opencl : 0
  model : "lstm"
  grad_clip : 5
  print_every : 1
  data_dir : "data/tinyshakespeare/"
  seq_length : 50
  num_layers : 2
  learning_rate_decay_after : 10
  rnn_size : 128
  train_frac : 0.95
  dropout : 0
  init_from : ""
  learning_rate : 0.002
  eval_val_every : 1000
  val_frac : 0.05
  savefile : "lstm"
  checkpoint_dir : "cv"
}
val losses:
{
  3000 : 1.4450460764536
  4000 : 1.4213234041304
  5000 : 1.4060113392715
  6000 : 1.389498488439
  8000 : 1.3909428322715
  10000 : 1.4003497627469
  7000 : 1.3937299336865
  9000 : 1.3940925438403
  1000 : 1.7136267190726
  2000 : 1.5211800115534
  11000 : 1.389983844627
}