bshao001 / ChatLearner

A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.
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Input and Output Node Names #48

Closed jyl2010 closed 6 years ago

jyl2010 commented 6 years ago

Hi! Love the project! Was just wondering what the input and output node names of your pretrained model were? Been trying to figure that out for the past couple of days and thought I just ask! Thanks again!

bshao001 commented 6 years ago

@jyl2010 I am not 100% sure, but I assume the output node is logits returned from build_graph method in modelcreator.py. Based on this output node, running a script to freeze the model as described in my TF-Model-Deploy-Tutorial, the first node should be the input node.

jyl2010 commented 6 years ago

Hmm, not seeing that variable in the model nodes. Let me try to tinker around and report back my findings

bshao001 commented 6 years ago

@jyl2010 Try to look for a node called "output_projection". It might be the one you are looking for.

jyl2010 commented 6 years ago

Hmm, output_projection produces many nodes from there. I'll print out all the variable names of the nodes to see what we are looking at. Thank you though!

jyl2010 commented 6 years ago

So here is a list of output nodes. Trouble finding out which one is the output node

string_to_index/hash_table string_to_index/hash_table/Const string_to_index/hash_table/table_init/asset_filepath string_to_index/hash_table/table_init index_to_string index_to_string/Const index_to_string/table_init/asset_filepath index_to_string/table_init Placeholder batch_size Const Const_1 padding_value padding_value_1 Iterator TensorSliceDataset MapDataset MapDataset_1 MapDataset_2 MapDataset_3 PaddedBatchDataset MakeIterator IteratorToStringHandle IteratorGetNext embeddings/embedding/Initializer/random_uniform/shape embeddings/embedding/Initializer/random_uniform/min embeddings/embedding/Initializer/random_uniform/max embeddings/embedding/Initializer/random_uniform/RandomUniform embeddings/embedding/Initializer/random_uniform/sub embeddings/embedding/Initializer/random_uniform/mul embeddings/embedding/Initializer/random_uniform embeddings/embedding embeddings/embedding/Assign embeddings/embedding/read Size dynamic_seq2seq/transpose/Rank dynamic_seq2seq/transpose/sub/y dynamic_seq2seq/transpose/sub dynamic_seq2seq/transpose/Range/start dynamic_seq2seq/transpose/Range/delta dynamic_seq2seq/transpose/Range dynamic_seq2seq/transpose/sub_1 dynamic_seq2seq/transpose dynamic_seq2seq/encoder/embedding_lookup dynamic_seq2seq/encoder/DropoutWrapperInit/Const dynamic_seq2seq/encoder/DropoutWrapperInit/Const_1 dynamic_seq2seq/encoder/DropoutWrapperInit/Const_2 dynamic_seq2seq/encoder/DropoutWrapperInit_1/Const dynamic_seq2seq/encoder/DropoutWrapperInit_1/Const_1 dynamic_seq2seq/encoder/DropoutWrapperInit_1/Const_2 dynamic_seq2seq/encoder/rnn/sequence_length dynamic_seq2seq/encoder/rnn/Shape dynamic_seq2seq/encoder/rnn/strided_slice/stack dynamic_seq2seq/encoder/rnn/strided_slice/stack_1 dynamic_seq2seq/encoder/rnn/strided_slice/stack_2 dynamic_seq2seq/encoder/rnn/strided_slice dynamic_seq2seq/encoder/rnn/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/ExpandDims/dim dynamic_seq2seq/encoder/rnn/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/ExpandDims dynamic_seq2seq/encoder/rnn/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/Const dynamic_seq2seq/encoder/rnn/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/concat/axis dynamic_seq2seq/encoder/rnn/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/concat dynamic_seq2seq/encoder/rnn/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/zeros/Const dynamic_seq2seq/encoder/rnn/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/zeros dynamic_seq2seq/encoder/rnn/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/ExpandDims_1/dim dynamic_seq2seq/encoder/rnn/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/ExpandDims_1 dynamic_seq2seq/encoder/rnn/MultiRNNCellZeroState/DropoutWrapperZeroState/GRUCellZeroState/Const_1 dynamic_seq2seq/encoder/rnn/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/ExpandDims/dim dynamic_seq2seq/encoder/rnn/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/ExpandDims dynamic_seq2seq/encoder/rnn/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/Const dynamic_seq2seq/encoder/rnn/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/concat/axis dynamic_seq2seq/encoder/rnn/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/concat dynamic_seq2seq/encoder/rnn/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/zeros/Const dynamic_seq2seq/encoder/rnn/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/zeros dynamic_seq2seq/encoder/rnn/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/ExpandDims_1/dim dynamic_seq2seq/encoder/rnn/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/ExpandDims_1 dynamic_seq2seq/encoder/rnn/MultiRNNCellZeroState/DropoutWrapperZeroState_1/GRUCellZeroState/Const_1 dynamic_seq2seq/encoder/rnn/Shape_1 dynamic_seq2seq/encoder/rnn/stack dynamic_seq2seq/encoder/rnn/Equal dynamic_seq2seq/encoder/rnn/Const dynamic_seq2seq/encoder/rnn/All dynamic_seq2seq/encoder/rnn/Assert/Const dynamic_seq2seq/encoder/rnn/Assert/Const_1 dynamic_seq2seq/encoder/rnn/Assert/Assert/data_0 dynamic_seq2seq/encoder/rnn/Assert/Assert/data_2 dynamic_seq2seq/encoder/rnn/Assert/Assert dynamic_seq2seq/encoder/rnn/CheckSeqLen dynamic_seq2seq/encoder/rnn/Shape_2 dynamic_seq2seq/encoder/rnn/strided_slice_1/stack dynamic_seq2seq/encoder/rnn/strided_slice_1/stack_1 dynamic_seq2seq/encoder/rnn/strided_slice_1/stack_2 dynamic_seq2seq/encoder/rnn/strided_slice_1 dynamic_seq2seq/encoder/rnn/Shape_3 dynamic_seq2seq/encoder/rnn/strided_slice_2/stack dynamic_seq2seq/encoder/rnn/strided_slice_2/stack_1 dynamic_seq2seq/encoder/rnn/strided_slice_2/stack_2 dynamic_seq2seq/encoder/rnn/strided_slice_2 dynamic_seq2seq/encoder/rnn/ExpandDims/dim dynamic_seq2seq/encoder/rnn/ExpandDims dynamic_seq2seq/encoder/rnn/Const_1 dynamic_seq2seq/encoder/rnn/concat/axis dynamic_seq2seq/encoder/rnn/concat dynamic_seq2seq/encoder/rnn/zeros/Const dynamic_seq2seq/encoder/rnn/zeros dynamic_seq2seq/encoder/rnn/Const_2 dynamic_seq2seq/encoder/rnn/Min dynamic_seq2seq/encoder/rnn/Const_3 dynamic_seq2seq/encoder/rnn/Max dynamic_seq2seq/encoder/rnn/time dynamic_seq2seq/encoder/rnn/TensorArray dynamic_seq2seq/encoder/rnn/TensorArray_1 dynamic_seq2seq/encoder/rnn/TensorArrayUnstack/Shape dynamic_seq2seq/encoder/rnn/TensorArrayUnstack/strided_slice/stack dynamic_seq2seq/encoder/rnn/TensorArrayUnstack/strided_slice/stack_1 dynamic_seq2seq/encoder/rnn/TensorArrayUnstack/strided_slice/stack_2 dynamic_seq2seq/encoder/rnn/TensorArrayUnstack/strided_slice dynamic_seq2seq/encoder/rnn/TensorArrayUnstack/range/start dynamic_seq2seq/encoder/rnn/TensorArrayUnstack/range/delta dynamic_seq2seq/encoder/rnn/TensorArrayUnstack/range dynamic_seq2seq/encoder/rnn/TensorArrayUnstack/TensorArrayScatter/TensorArrayScatterV3 dynamic_seq2seq/encoder/rnn/Maximum/x dynamic_seq2seq/encoder/rnn/Maximum dynamic_seq2seq/encoder/rnn/Minimum dynamic_seq2seq/encoder/rnn/while/iteration_counter dynamic_seq2seq/encoder/rnn/while/Enter dynamic_seq2seq/encoder/rnn/while/Enter_1 dynamic_seq2seq/encoder/rnn/while/Enter_2 dynamic_seq2seq/encoder/rnn/while/Enter_3 dynamic_seq2seq/encoder/rnn/while/Enter_4 dynamic_seq2seq/encoder/rnn/while/Merge dynamic_seq2seq/encoder/rnn/while/Merge_1 dynamic_seq2seq/encoder/rnn/while/Merge_2 dynamic_seq2seq/encoder/rnn/while/Merge_3 dynamic_seq2seq/encoder/rnn/while/Merge_4 dynamic_seq2seq/encoder/rnn/while/Less dynamic_seq2seq/encoder/rnn/while/Less/Enter dynamic_seq2seq/encoder/rnn/while/Less_1 dynamic_seq2seq/encoder/rnn/while/Less_1/Enter dynamic_seq2seq/encoder/rnn/while/LogicalAnd dynamic_seq2seq/encoder/rnn/while/LoopCond dynamic_seq2seq/encoder/rnn/while/Switch dynamic_seq2seq/encoder/rnn/while/Switch_1 dynamic_seq2seq/encoder/rnn/while/Switch_2 dynamic_seq2seq/encoder/rnn/while/Switch_3 dynamic_seq2seq/encoder/rnn/while/Switch_4 dynamic_seq2seq/encoder/rnn/while/Identity dynamic_seq2seq/encoder/rnn/while/Identity_1 dynamic_seq2seq/encoder/rnn/while/Identity_2 dynamic_seq2seq/encoder/rnn/while/Identity_3 dynamic_seq2seq/encoder/rnn/while/Identity_4 dynamic_seq2seq/encoder/rnn/while/add/y dynamic_seq2seq/encoder/rnn/while/add dynamic_seq2seq/encoder/rnn/while/TensorArrayReadV3 dynamic_seq2seq/encoder/rnn/while/TensorArrayReadV3/Enter dynamic_seq2seq/encoder/rnn/while/TensorArrayReadV3/Enter_1 dynamic_seq2seq/encoder/rnn/while/GreaterEqual dynamic_seq2seq/encoder/rnn/while/GreaterEqual/Enter dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/dropout/keep_prob dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/dropout/Shape dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/dropout/random_uniform/min dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/dropout/random_uniform/max dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/dropout/random_uniform/RandomUniform dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/dropout/random_uniform/sub dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/dropout/random_uniform/mul dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/dropout/random_uniform dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/dropout/add dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/dropout/Floor dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/dropout/div dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/dropout/mul dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Initializer/random_uniform/shape dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Initializer/random_uniform/min dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Initializer/random_uniform/max dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Initializer/random_uniform/RandomUniform dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Initializer/random_uniform/sub dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Initializer/random_uniform/mul dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Initializer/random_uniform dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/gates/kernel dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/gates/kernel/Assign dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/gates/kernel/read dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/gates/bias/Initializer/Const dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/gates/bias dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/gates/bias/Assign dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/gates/bias/read dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/shape dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/min dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/max dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/RandomUniform dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/sub dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform/mul dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Initializer/random_uniform dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/candidate/kernel dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/Assign dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/candidate/kernel/read dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/candidate/bias/Initializer/zeros/shape_as_tensor dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/candidate/bias/Initializer/zeros/Const dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/candidate/bias/Initializer/zeros dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/candidate/bias dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/candidate/bias/Assign dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_0/gru_cell/candidate/bias/read dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/concat/axis dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/concat dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/MatMul dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/MatMul/Enter dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/BiasAdd dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/BiasAdd/Enter dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/Sigmoid dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/Const dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/split/split_dim dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/split dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/mul dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/concat_1/axis dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/concat_1 dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/MatMul_1 dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/MatMul_1/Enter dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/BiasAdd_1 dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/BiasAdd_1/Enter dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/Tanh dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/mul_1 dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/sub/x dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/sub dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/mul_2 dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_0/gru_cell/add dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/dropout/keep_prob dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/dropout/Shape dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/dropout/random_uniform/min dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/dropout/random_uniform/max dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/dropout/random_uniform/RandomUniform dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/dropout/random_uniform/sub dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/dropout/random_uniform/mul dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/dropout/random_uniform dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/dropout/add dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/dropout/Floor dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/dropout/div dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/dropout/mul dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform/shape dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform/min dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform/max dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform/RandomUniform dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform/sub dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform/mul dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Initializer/random_uniform dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/gates/kernel dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/gates/kernel/Assign dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/gates/kernel/read dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/gates/bias/Initializer/Const dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/gates/bias dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/gates/bias/Assign dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/gates/bias/read dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/shape dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/min dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/max dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/RandomUniform dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/sub dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform/mul dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Initializer/random_uniform dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/candidate/kernel dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/Assign dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/candidate/kernel/read dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Initializer/zeros/shape_as_tensor dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Initializer/zeros/Const dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Initializer/zeros dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/candidate/bias dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/candidate/bias/Assign dynamic_seq2seq/encoder/rnn/multi_rnn_cell/cell_1/gru_cell/candidate/bias/read dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/gru_cell/concat/axis dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/gru_cell/concat dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/gru_cell/MatMul dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/gru_cell/MatMul/Enter dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/gru_cell/BiasAdd dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/gru_cell/BiasAdd/Enter dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/gru_cell/Sigmoid dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/gru_cell/Const dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/gru_cell/split/split_dim dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/gru_cell/split dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/gru_cell/mul dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/gru_cell/concat_1/axis dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/gru_cell/concat_1 dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/gru_cell/MatMul_1 dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/gru_cell/MatMul_1/Enter dynamic_seq2seq/encoder/rnn/while/rnn/multi_rnn_cell/cell_1/gru_cell/BiasAdd_1 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bshao001 commented 6 years ago

If you really want to figure out the output node, you can try to post the question on https://github.com/tensorflow/nmt. If you can get a valid solution for that, you should be able to figure out this one as well because they are very similar.