sephora-m / chord2vec Goto Github PK

  File "/some/path/local/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 44, in run
    _sys.exit(main(_sys.argv[:1] + flags_passthrough))
  File "main.py", line 710, in main
    train()
  File "main.py", line 380, in train
    model = create_seq2seqs_model(sess, False)
  File "main.py", line 282, in create_seq2seqs_model
    FLAGS.learning_rate_decay_factor)
  File "/some/path/repo/chord2vec/chord2vec/seq2seq/seq2seqs_model.py", line 100, in __init__
    buckets, lambda x,y: embedding_rnn_seq2seqs(x,num_decoders,y,cell,
  File "/some/path/repo/chord2vec/chord2vec/seq2seq/seq2seqs_model.py", line 563, in model_with_buckets
    decoders_inputs)
  File "/some/path/repo/chord2vec/chord2vec/seq2seq/seq2seqs_model.py", line 102, in <lambda>
    embedding_size=num_units))
  File "/some/path/repo/chord2vec/chord2vec/seq2seq/seq2seqs_model.py", line 441, in embedding_rnn_seq2seqs
    _, encoder_state = rnn.dynamic_rnn(encoder_cell, encoder_inputs, dtype=dtype)
  File "/some/path/local/lib/python2.7/site-packages/tensorflow/python/ops/rnn.py", line 489, in dynamic_rnn
    for input_ in flat_input)
  File "/some/path/local/lib/python2.7/site-packages/tensorflow/python/ops/rnn.py", line 489, in <genexpr>
    for input_ in flat_input)
  File "/some/path/local/lib/python2.7/site-packages/tensorflow/python/ops/array_ops.py", line 1288, in transpose
    ret = gen_array_ops.transpose(a, perm, name=name)
  File "/some/path/local/lib/python2.7/site-packages/tensorflow/python/ops/gen_array_ops.py", line 3841, in transpose
    result = _op_def_lib.apply_op("Transpose", x=x, perm=perm, name=name)
  File "/some/path/local/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 763, in apply_op
    op_def=op_def)
  File "/some/path/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2397, in create_op
    set_shapes_for_outputs(ret)
  File "/some/path/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1757, in set_shapes_for_outputs
    shapes = shape_func(op)
  File "/some/path/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 1707, in call_with_requiring
    return call_cpp_shape_fn(op, require_shape_fn=True)
  File "/some/path/local/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 610, in call_cpp_shape_fn
    debug_python_shape_fn, require_shape_fn)
  File "/some/path/local/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 675, in _call_cpp_shape_fn_impl
    raise ValueError(err.message)
ValueError: Dimension must be 1 but is 3 for 'model/model_with_buckets/model/embedding_rnn_seq2seq/transpose' (op: 'Transpose') with input shapes: [?], [3].

In [5]: import chord2vec
---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-5-79c3668bd7a5> in <module>()
----> 1 import chord2vec

.../local/lib/python2.7/site-packages/chord2vec/__init__.py in <module>()
----> 1 from seq2seq_model import Seq2SeqModel
      2 from seq2seqs_model import Seq2SeqsModel

.../local/lib/python2.7/site-packages/chord2vec/seq2seq_model.py in <module>()
     26 import tensorflow as tf
     27 
---> 28 from tensorflow.models.rnn.translate import data_utils
     29 
     30 

ImportError: No module named models.rnn.translate