failed to run

[sherrytong]

Prepare Chitchat data in ./grl_data/ Reading development and training data (limit: 0). b_set length: 0 b_set length: 6 b_set length: 2 b_set length: 0 Creating st_model model with fresh parameters Created st_model model with fresh parameters Creating bk_model model with fresh parameters Created bk_model model with fresh parameters Creating cc_model model with fresh parameters Created cc_model model with fresh parameters Traceback (most recent call last): File "/IR/Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow-master/grl_train.py", line 473, in tf.app.run() File "/Library/Python/2.7/site-packages/tensorflow/python/platform/app.py", line 43, in run sys.exit(main(sys.argv[:1] + flags_passthrough)) File "/IR/Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow-master/grl_train.py", line 467, in main train() File "/IR/Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow-master/grl_train.py", line 261, in train rl_model = create_rl_model(sess, grl_config, False, grl_config.name_model) File "/IR/Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow-master/grl_train.py", line 99, in create_rl_model rl_model = grl_rnn_model.grl_model(grl_config=rl_config, name_scope=name_scope, forward=forward_only) File "/IR/Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow-master/grl_rnn_model.py", line 122, in init softmax_loss_function=softmax_loss_function) File "/IR/Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow-master/grl_seq2seq.py", line 477, in model_with_buckets decoder_inputs[:bucket[1]]) File "/IR/Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow-master/grl_rnn_model.py", line 121, in seq2seq=lambda x, y: seq2seq_f(x, y, tf.select(self.forward_only, True, False)), File "/IR/Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow-master/grl_rnn_model.py", line 98, in seq2seq_f dtype=dtype File "/IR/Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow-master/grl_seq2seq.py", line 401, in embedding_attention_seq2seq lambda: decoder(False)) File "/Library/Python/2.7/site-packages/tensorflow/python/ops/control_flow_ops.py", line 1776, in cond orig_res, res_t = context_t.BuildCondBranch(fn1) File "/Library/Python/2.7/site-packages/tensorflow/python/ops/control_flow_ops.py", line 1677, in BuildCondBranch r = fn() File "/IR/Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow-master/grl_seq2seq.py", line 400, in lambda: decoder(True), File "/IR/Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow-master/grl_seq2seq.py", line 397, in decoder return outputs + state_list File "/Library/Python/2.7/site-packages/tensorflow/python/ops/math_ops.py", line 813, in binary_op_wrapper y = ops.convert_to_tensor(y, dtype=x.dtype.base_dtype, name="y") File "/Library/Python/2.7/site-packages/tensorflow/python/framework/ops.py", line 669, in convert_to_tensor ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref) File "/Library/Python/2.7/site-packages/tensorflow/python/framework/constant_op.py", line 176, in _constant_tensor_conversion_function return constant(v, dtype=dtype, name=name) File "/Library/Python/2.7/site-packages/tensorflow/python/framework/constant_op.py", line 165, in constant tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape, verify_shape=verify_shape)) File "/Library/Python/2.7/site-packages/tensorflow/python/framework/tensor_util.py", line 367, in make_tensor_proto _AssertCompatible(values, dtype) File "/Library/Python/2.7/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.

I don't know how to solve it. Can you give me some idea?

[xinyuwang1126]

I encountered the same problem here..and I am using tf 0.12.0

[sjy980908]

I encountered the same problem here..and I am using tf 0.12.0

I also met this kind of situation, have you solved it?