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a.txt
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W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_7/sub/_554 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_204967_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_7/sub", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_7/Reshape_4/_550 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_204957_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_7/Reshape_4", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_7/SparseToDense/_40 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_10332_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_7/SparseToDense", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss/sub_1/_808 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_205878_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss/sub_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_7/Slice_6/_532 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_204878_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_7/Slice_6", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_7/add_2/_538 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_204900_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_7/add_2", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_7/Mul/_544 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_204937_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_7/Mul", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/SoftmaxCrossEntropyWithLogits_8/_524 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_204856_model_with_buckets/sequence_loss/sequence_loss_by_example/SoftmaxCrossEntropyWithLogits_8", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_8/MatMul/_510 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_204821_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_8/MatMul", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_8/Reshape_4/_514 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_204827_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_8/Reshape_4", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_8/MatMul_1/_498 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_204760_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_8/MatMul_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_8/Slice_6/_496 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_204748_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_8/Slice_6", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_5/Slice_6/_604 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_205138_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_5/Slice_6", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_8/Mul/_508 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_204807_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_8/Mul", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_9/add/_480 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_204702_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_9/add", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1d84e1c0 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: gradients/model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_4/embedding_lookup_1_grad/Reshape_1/_162 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_12272_gradients/model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_4/embedding_lookup_1_grad/Reshape_1", tensor_type=DT_INT64, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_9/Reshape_4/_478 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_204697_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_9/Reshape_4", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_9/sub_1/_484 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_204708_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_9/sub_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_9/Slice_6/_460 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_204618_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_9/Slice_6", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1d84e1c0 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/embedding_attention_seq2seq/concat_2/_250 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_75850_model_with_buckets/embedding_attention_seq2seq/concat_2", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_3/Slice_2/_410 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_85347_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_3/Slice_2", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_1/Reshape_5/_436 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_85450_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_1/Reshape_5", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_3/Reshape_3/_692 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_205474_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_3/Reshape_3", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1d84e1c0 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: gradients/model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_3/embedding_lookup_grad/Reshape_1/_138 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_12258_gradients/model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_3/embedding_lookup_grad/Reshape_1", tensor_type=DT_INT64, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss/embedding_lookup_1/_438 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_85453_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss/embedding_lookup_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_1/Slice_2/_434 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_85437_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_1/Slice_2", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_2/embedding_lookup_1/_414 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_85363_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_2/embedding_lookup_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/SoftmaxCrossEntropyWithLogits_7/_560 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_204986_model_with_buckets/sequence_loss/sequence_loss_by_example/SoftmaxCrossEntropyWithLogits_7", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_1/embedding_lookup_1/_426 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_85408_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_1/embedding_lookup_1", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss/ones/_908 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_211646_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss/ones", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_2/Reshape_5/_424 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_85405_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_2/Reshape_5", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_2/Slice_2/_422 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_85392_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_2/Slice_2", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_2/Slice_7/_420 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_85378_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_2/Slice_7", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_1/ExpandDims/_324 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_80273_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_1/ExpandDims", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
W tensorflow/core/common_runtime/executor.cc:1102] 0x1a568990 Compute status: Invalid argument: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_3/Reshape_5/_412 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_85360_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss_3/Reshape_5", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
Traceback (most recent call last):
File "translate2.py", line 294, in <module>
tf.app.run()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/default/_app.py", line 30, in run
sys.exit(main(sys.argv))
File "translate2.py", line 291, in main
train()
File "translate2.py", line 180, in train
target_weights, bucket_id, False)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/models/rnn/translate/seq2seq_model2.py", line 265, in step
outputs = session.run(output_feed, input_feed)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 315, in run
return self._run(None, fetches, feed_dict)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 511, in _run
feed_dict_string)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 564, in _do_run
target_list)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 586, in _do_call
e.code)
tensorflow.python.framework.errors.InvalidArgumentError: input[1,0] mismatch: 136 vs. 8
[[Node: gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset = ConcatOffset[N=2, _device="/job:localhost/replica:0/task:0/gpu:0"](model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat/concat_dim, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN, gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ShapeN:1)]]
[[Node: model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss/Log/_123 = _Send[T=DT_FLOAT, client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_12215_model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss/Log", _device="/job:localhost/replica:0/task:0/cpu:0"](model_with_buckets/sequence_loss/sequence_loss_by_example/sampled_softmax_loss/Log)]]
Caused by op u'gradients/model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat_grad/ConcatOffset', defined at:
File "translate2.py", line 294, in <module>
tf.app.run()
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/default/_app.py", line 30, in run
sys.exit(main(sys.argv))
File "translate2.py", line 291, in main
train()
File "translate2.py", line 147, in train
model = create_model(sess, False)
File "translate2.py", line 118, in create_model
forward_only=forward_only)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/models/rnn/translate/seq2seq_model2.py", line 189, in __init__
gradients = tf.gradients(self.losses[b], params)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gradients.py", line 483, in gradients
in_grads = _AsList(grad_fn(wrapped_op, *out_grads))
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/array_grad.py", line 72, in _ConcatGrad
offset = gen_array_ops._concat_offset(concat_dim, sizes)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_array_ops.py", line 96, in _concat_offset
shape=shape, name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/op_def_library.py", line 655, in apply_op
op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2040, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1087, in __init__
self._traceback = _extract_stack()
...which was originally created as op u'model_with_buckets/embedding_attention_seq2seq/BiRNN_FW/RNN/GRUCell/Gates/Linear/concat', defined at:
File "translate2.py", line 294, in <module>
tf.app.run()
[elided 3 identical lines from previous traceback]
File "translate2.py", line 118, in create_model
forward_only=forward_only)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/models/rnn/translate/seq2seq_model2.py", line 180, in __init__
softmax_loss_function=softmax_loss_function)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/seq2seq.py", line 1002, in model_with_buckets
decoder_inputs[:bucket[1]])
File "/usr/local/lib/python2.7/dist-packages/tensorflow/models/rnn/translate/seq2seq_model2.py", line 179, in <lambda>
lambda z, x, y: seq2seq_f(z, x, y, False),
File "/usr/local/lib/python2.7/dist-packages/tensorflow/models/rnn/translate/seq2seq_model2.py", line 134, in seq2seq_f
feed_previous=do_decode)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/seq2seq.py", line 733, in blabla
alphabetEnc = rnn.bidirectional_rnn(cell_forward,cell_backWord, anotherInput , initFw , initBw)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/rnn.py", line 374, in bidirectional_rnn
sequence_length)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/rnn.py", line 188, in rnn
(output, state) = call_cell()