2014mchidamb / adversarialchess Goto Github PK

Hi,

I was planning to open a PR with updated instructions for conda.

I believe I've successfully installed everything - but I can't get
python process_data.py to run.

[Event "FICS rated standard game"]
[Site "FICS freechess.org"]
[Date "2017.01.31"]
[Round "?"]
[White "aberleider"]
[Black "rewqfdsa"]
[Result "1-0"]
[FICSGamesDBGameNo "410988594"]
[WhiteElo "2138"]
[BlackElo "1925"]
[WhiteRD "57.9"]
[BlackRD "34.8"]
[TimeControl "2700+15"]
[Time "22:37:00"]
[WhiteClock "0:45:00.000"]
[BlackClock "0:45:00.000"]
[ECO "D01"]
[PlyCount "79"]

1. d4 d5 2. Nc3 Nf6 3. Bg5 Nbd7 4. Qd3 h6 5. Bh4 g5 6. Bg3 a6 7. O-O-O Bg7 8. h4 g4 9. e4 dxe4 10. Nxe4 Nxe4 11. Qxe4 Nf6 12. Qe5 c6 13. Ne2 Qd5 14. Nc3 Qxe5 15. Bxe5 O-O 16. Bd3 h5 17. Ne2 Nd5 18. Bxg7 Kxg7 19. c4 Nf6 20. Nf4 Rd8 21. d5 cxd5 22. cxd5 Nxd5 23. Bc4 e6 24. Nxh5+ Kf8 25. Nf6 Ke7 26. Nxg4 b5 27. Bxd5 exd5 28. Rhe1+ Kf8 29. Ne5 Bf5 30. Kd2 f6 31. Nc6 Rd6 32. Nd4 Bd7 33. Rc1 Kg7 34. Re7+ Kg6 35. Rc7 Rd8 36. g4 Kh6 37. f4 Kg6 38. h5+ Kh6 39. Rcxd7 R6xd7 40. Nf5# { Black checkmated } 1-0
   Traceback (most recent call last):
   File "process_data.py", line 174, in
   main()
   File "process_data.py", line 170, in main
   gen_board_pair_data(datafile, 'training_data')
   File "process_data.py", line 76, in gen_board_pair_data
   while not node.is_end():
   AttributeError: 'Game' object has no attribute 'is_end

my branch is here
https://github.com/johndpope/AdversarialChess

Traceback (most recent call last): File "train_model.py", line 15, in <module> magikarp.train() File "/Users/johndpope/Documents/tensorFlowWorkspace/AdversarialChess/model.py", line 215, in train self.create_model() File "/Users/johndpope/Documents/tensorFlowWorkspace/AdversarialChess/model.py", line 197, in create_model self.create_dis_model() File "/Users/johndpope/Documents/tensorFlowWorkspace/AdversarialChess/model.py", line 187, in create_dis_model self.d_pred_real = self.d_predict(tf.concat(1, [self.person_board_1, self.person_board_2]), self.p_keep) File "/Users/johndpope/miniconda2/envs/tensorflow-p2/lib/python2.7/site-packages/tensorflow/python/ops/array_ops.py", line 1029, in concat dtype=dtypes.int32).get_shape( File "/Users/johndpope/miniconda2/envs/tensorflow-p2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 639, in convert_to_tensor as_ref=False) File "/Users/johndpope/miniconda2/envs/tensorflow-p2/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 704, in internal_convert_to_tensor ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref) File "/Users/johndpope/miniconda2/envs/tensorflow-p2/lib/python2.7/site-packages/tensorflow/python/framework/constant_op.py", line 113, in _constant_tensor_conversion_function return constant(v, dtype=dtype, name=name) File "/Users/johndpope/miniconda2/envs/tensorflow-p2/lib/python2.7/site-packages/tensorflow/python/framework/constant_op.py", line 102, in constant tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape, verify_shape=verify_shape)) File "/Users/johndpope/miniconda2/envs/tensorflow-p2/lib/python2.7/site-packages/tensorflow/python/framework/tensor_util.py", line 370, in make_tensor_proto _AssertCompatible(values, dtype) File "/Users/johndpope/miniconda2/envs/tensorflow-p2/lib/python2.7/site-packages/tensorflow/python/framework/tensor_util.py", line 302, in _AssertCompatible (dtype.name, repr(mismatch), type(mismatch).__name__)) TypeError: Expected int32, got list containing Tensors of type '_Message' instead.

was there a specific tensorflow version you used?

After doing python process_data.py using ../Data/GM2001.pgn the next step in the README.md fails:

$ ls ../Data/
-rw-r--r-- 1 lila lila    49530521 Feb 26 08:34 GM2001.pgn
-rw-rw-r-- 1 lila lila 11946358296 Feb 28 00:51 training_data.hdf5
-rw-rw-r-- 1 lila lila   134512600 Feb 28 00:57 player_data.hdf5
-rw-rw-r-- 1 lila lila   452653274 Feb 28 00:59 full_boards.pkl

$ uname -a
Linux dugovic-host 4.4.0-64-generic #85-Ubuntu SMP Mon Feb 20 11:50:30 UTC 2017 x86_64 x86_64 x86_64 GNU/Linux

$ python train_model.py 
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
Traceback (most recent call last):
  File "train_model.py", line 14, in <module>
    magikarp = Magikarp(config, sess)
  File "/home/lila/AdversarialChess/model.py", line 18, in __init__
    self.p_data = h5py.File(config['p_datafile'], 'r')
  File "/home/lila/.local/lib/python2.7/site-packages/h5py/_hl/files.py", line 272, in __init__
    fid = make_fid(name, mode, userblock_size, fapl, swmr=swmr)
  File "/home/lila/.local/lib/python2.7/site-packages/h5py/_hl/files.py", line 92, in make_fid
    fid = h5f.open(name, flags, fapl=fapl)
  File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper (/tmp/pip-4rPeHA-build/h5py/_objects.c:2684)
  File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper (/tmp/pip-4rPeHA-build/h5py/_objects.c:2642)
  File "h5py/h5f.pyx", line 76, in h5py.h5f.open (/tmp/pip-4rPeHA-build/h5py/h5f.c:1930)
IOError: Unable to open file (Unable to open file: name = '../data/tal_data.hdf5', errno = 2, error message = 'no such file or directory', flags = 0, o_flags = 0)