在TensorFlow12.3版本下测试hcnn模型报错

测试命令如下：
easy_transfer_app --mode=train --inputSchema=query:str:1,doc:str:1,label:str:1 --inputTable=./train_lcqmc.csv,.dev_lcqmc.csv --firstSequence=query --secondSequence=doc --labelName=label --labelEnumerateValues=0,1 --batchSize=32 --numEpochs=1 --optimizerType=adam --learningRate=0.001 --modelName=text_match_hcnn --checkpointDir=./hcnn_match_models --advancedParameters='first_sequence_length=40 second_sequence_length=40 pretrain_word_embedding_name_or_path=./sgns.zhihu.char.300.bin fix_embedding=true max_vocab_size=30000 embedding_size=300 hidden_size=300'
报错信息如下：
INFO:tensorflow:Initialize word embedding from pretrained
Traceback (most recent call last):
File "/usr/local/anaconda3/envs/tf12.3/bin/easy_transfer_app", line 8, in
sys.exit(main())
File "/usr/local/anaconda3/envs/tf12.3/lib/python3.6/site-packages/easytransfer/app_zoo_cli.py", line 99, in main
app.run()
File "/usr/local/anaconda3/envs/tf12.3/lib/python3.6/site-packages/easytransfer/app_zoo/app_utils.py", line 168, in wrapper
func(*args, **kw)
File "/usr/local/anaconda3/envs/tf12.3/lib/python3.6/site-packages/easytransfer/app_zoo/base.py", line 44, in run
getattr(self, self.config.mode.replace("_on_the_fly", ""))()
File "/usr/local/anaconda3/envs/tf12.3/lib/python3.6/site-packages/easytransfer/app_zoo/base.py", line 113, in train_and_evaluate
self.run_train_and_evaluate(train_reader=train_reader, eval_reader=eval_reader)
File "/usr/local/anaconda3/envs/tf12.3/lib/python3.6/site-packages/easytransfer/engines/model.py", line 608, in run_train_and_evaluate
eval_spec=eval_spec)
File "/usr/local/anaconda3/envs/tf12.3/lib/python3.6/site-packages/tensorflow/python/estimator/training.py", line 471, in train_and_evaluate
return executor.run()
File "/usr/local/anaconda3/envs/tf12.3/lib/python3.6/site-packages/tensorflow/python/estimator/training.py", line 610, in run
return self.run_local()
File "/usr/local/anaconda3/envs/tf12.3/lib/python3.6/site-packages/tensorflow/python/estimator/training.py", line 711, in run_local
saving_listeners=saving_listeners)
File "/usr/local/anaconda3/envs/tf12.3/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 354, in train
loss = self._train_model(input_fn, hooks, saving_listeners)
File "/usr/local/anaconda3/envs/tf12.3/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 1207, in _train_model
return self._train_model_default(input_fn, hooks, saving_listeners)
File "/usr/local/anaconda3/envs/tf12.3/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 1237, in _train_model_default
features, labels, model_fn_lib.ModeKeys.TRAIN, self.config)
File "/usr/local/anaconda3/envs/tf12.3/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 1195, in _call_model_fn
model_fn_results = self._model_fn(features=features, **kwargs)
File "/usr/local/anaconda3/envs/tf12.3/lib/python3.6/site-packages/easytransfer/engines/model.py", line 530, in model_fn
logits, labels = self.build_logits(features, mode=mode)
File "/usr/local/anaconda3/envs/tf12.3/lib/python3.6/site-packages/easytransfer/app_zoo/text_match.py", line 618, in build_logits
filter_size=self.config.filter_size)([a_embeds, b_embeds, text_a_masks, text_b_masks])
File "/usr/local/anaconda3/envs/tf12.3/lib/python3.6/site-packages/tensorflow/python/layers/base.py", line 374, in __call__
outputs = super(Layer, self).__call__(inputs, *args, **kwargs)
File "/usr/local/anaconda3/envs/tf12.3/lib/python3.6/site-packages/tensorflow/python/keras/engine/base_layer.py", line 757, in __call__
outputs = self.call(inputs, *args, **kwargs)
File "/usr/local/anaconda3/envs/tf12.3/lib/python3.6/site-packages/easytransfer/layers/cnn.py", line 276, in call
(a_length / 4 / 3 / 2) * (b_length / 4 / 3 / 2)])
File "/usr/local/anaconda3/envs/tf12.3/lib/python3.6/site-packages/tensorflow/python/ops/gen_array_ops.py", line 6482, in reshape
"Reshape", tensor=tensor, shape=shape, name=name)
File "/usr/local/anaconda3/envs/tf12.3/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 609, in _apply_op_helper
param_name=input_name)
File "/usr/local/anaconda3/envs/tf12.3/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 60, in _SatisfiesTypeConstraint
", ".join(dtypes.as_dtype(x).name for x in allowed_list)))
TypeError: Value passed to parameter 'shape' has DataType float32 not in list of allowed values: int32, int64

**以上基于安装官方给出的版本tf1.12.3**

Start with easytransfer/layers/cnn.py, where the traceback shows the failing reshape, and trace how its shape is built from the sequence lengths. Check the caller in easytransfer/app_zoo/text_match.py and reproduce the supplied training command under TensorFlow 1.12.3. Done means the hcnn training run no longer raises the reported float32 shape error.

Written by the indexing model from the issue text.