File “/home/mantili/tensorflow/lib/python3.5/site-packages/tensorflow/python/training/monitored_session.py”, line 971, in run
return self._sess.run(*args, **kwargs)
File “/home/mantili/tensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py”, line 900, in run
run_metadata_ptr)
File “/home/mantili/tensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py”, line 1135, in _run
feed_dict_tensor, options, run_metadata)
File “/home/mantili/tensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py”, line 1316, in _do_run
run_metadata)
File “/home/mantili/tensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py”, line 1335, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InternalError: Blas GEMM launch failed : a.shape=(1, 1024), b.shape=(1024, 2048), m=1, n=2048, k=1024
[[Node: seq2seq/parallel_0/seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/MatMul = MatMul[T=DT_FLOAT, _class=[“loc:@optim…rayWriteV3”], transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/device:GPU:0"](seq2seq/parallel_0/seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat, seq2seq/parallel_0/seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/MatMul/Enter)]]
[[Node: seq2seq/parallel_0/seq2seq/decoder/LuongAttention/assert_equal/Equal/_227 = _Recvclient_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name=“edge_1800_seq2seq/parallel_0/seq2seq/decoder/LuongAttention/assert_equal/Equal”, tensor_type=DT_BOOL, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]
Caused by op ‘seq2seq/parallel_0/seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/MatMul’,
My vocabulary is only a list of characters + special symbols.