yerevann / dynamic-memory-networks-in-theano Goto Github PK

==> Loading test from /private/tmp/new/Dynamic-memory-networks-in-Theano/data/en/all_shuffled_train.txt
Traceback (most recent call last):
  File "api.py", line 73, in <module>
    babi_train_raw, babi_test_raw = dmn_utils.get_babi_raw('joint', 'joint')
  File "../utils.py", line 78, in get_babi_raw
    babi_train_raw = init_babi(os.path.join(os.path.dirname(os.path.realpath(__file__)), 'data/en/%s_train.txt' % babi_name))
  File "../utils.py", line 8, in init_babi
    for i, line in enumerate(open(fname)):
IOError: [Errno 2] No such file or directory: '/private/tmp/new/Dynamic-memory-networks-in-Theano/data/en/all_shuffled_train.txt'

python api.py

server/

Traceback (most recent call last):
  File "main.py", line 72, in <module>
    dmn = dmn_basic.DMN_basic(**args_dict)
  File "C:\Users\Karan\Desktop\DMT\dmn_basic.py", line 38, in __init__
    self.train_input, self.train_q, self.train_answer, self.train_input_mask = self._process_input(babi_train_raw)
  File "C:\Users\Karan\Desktop\DMT\dmn_basic.py", line 299, in _process_input
    inputs.append(np.vstack(inp_vector).astype(floatX))
TypeError: float() argument must be a string or a number, not 'map'

C:\Users\Karan\Desktop\DMT>python main.py --network dmn_basic --mode test --babi_id 1 --load_state states/dmn_basic.mh5.n40.babi1.epoch4.test0.00033.state
C:\Users\Karan\AppData\Local\Programs\Python\Python36\lib\site-packages\numpy\core\__init__.py:29: UserWarning: loaded more than 1 DLL from .libs:
C:\Users\Karan\AppData\Local\Programs\Python\Python36\lib\site-packages\numpy\.libs\libopenblas.IPBC74C7KURV7CB2PKT5Z5FNR3SIBV4J.gfortran-win_amd64.dll
C:\Users\Karan\AppData\Local\Programs\Python\Python36\lib\site-packages\numpy\.libs\libopenblas.TXA6YQSD3GCQQC22GEQ54J2UDCXDXHWN.gfortran-win_amd64.dll
  stacklevel=1)
WARNING (theano.configdefaults): g++ not available, if using conda: `conda install m2w64-toolchain`
C:\Users\Karan\AppData\Local\Programs\Python\Python36\lib\site-packages\theano\configdefaults.py:560: UserWarning: DeprecationWarning: there is no c++ compiler.This is deprecated and with Theano 0.11 a c++ compiler will be mandatory
  warnings.warn("DeprecationWarning: there is no c++ compiler."
WARNING (theano.configdefaults): g++ not detected ! Theano will be unable to execute optimized C-implementations (for both CPU and GPU) and will default to Python implementations. Performance will be severely degraded. To remove this warning, set Theano flags cxx to an empty string.
WARNING (theano.tensor.blas): Using NumPy C-API based implementation for BLAS functions.
==> parsing input arguments
Namespace(answer_module='feedforward', babi_id='1', babi_test_id='', batch_norm=False, batch_size=10, dim=40, dropout=0.0, epochs=500, input_mask_mode='sentence', l2=0, load_state='states/dmn_basic.mh5.n40.babi1.epoch4.test0.00033.state', log_every=1, memory_hops=5, mode='test', network='dmn_basic', normalize_attention=False, prefix='', save_every=1, shuffle=True, word_vector_size=50)
==> Loading test from C:\Users\Karan\Desktop\DMT\data/en/qa1_single-supporting-fact_train.txt
==> Loading test from C:\Users\Karan\Desktop\DMT\data/en/qa1_single-supporting-fact_test.txt
==> loading glove
==> glove is loaded
==> no minibatch training, argument batch_size is useless
==> not used params in DMN class: dict_keys(['babi_id', 'babi_test_id', 'batch_norm', 'batch_size', 'dropout', 'epochs', 'load_state', 'log_every', 'network', 'prefix', 'save_every', 'shuffle'])
Traceback (most recent call last):
  File "main.py", line 72, in <module>
    dmn = dmn_basic.DMN_basic(**args_dict)
  File "C:\Users\Karan\Desktop\DMT\dmn_basic.py", line 38, in __init__
    self.train_input, self.train_q, self.train_answer, self.train_input_mask = self._process_input(babi_train_raw)
  File "C:\Users\Karan\Desktop\DMT\dmn_basic.py", line 299, in _process_input
    inputs.append(np.vstack(inp_vector).astype(floatX))
TypeError: float() argument must be a string or a number, not 'map'