WDL 模型进行TF serving报错

[Hanlos]

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Describe the question(问题描述) WDL 模型进行TF serving报错 {'error': '{{function_node __inference__wrapped_model_164377_specialized_for_StatefulPartitionedCall_StatefulPartitionedCall_at_tf_graph}} {{function_node __inference__wrapped_model_164377_specialized_for_StatefulPartitionedCall_StatefulPartitionedCall_at_tf_graph}} transpose expects a vector of size 2. But input(1) is a vector of size 3\n\t [[{{node functional_1/sequence_pooling_layer_2/ArithmeticOptimizer/ReorderCastLikeAndValuePreserving_bool_transpose}}]]\n\t [[StatefulPartitionedCall/StatefulPartitionedCall]]'}

Additional context Add any other context about the problem here.

Operating environment(运行环境):

• python version [e.g. 3.6]
• tensorflow version [e.g. 1.4.0, 1.5.0, 2.4.0]
• deepctr version [e.g. 0.8.3,]

[zanshuxun]

请按照bug report模板给出运行环境及复现步骤

Describe the bug(问题描述) A clear and concise description of what the bug is.Better with standalone code to reproduce the issue.

To Reproduce(复现步骤) Steps to reproduce the behavior:

1. Go to '...'
2. Click on '....'
3. Scroll down to '....'
4. See error

Operating environment(运行环境):

• python version [e.g. 3.6, 3.7]
• tensorflow version [e.g. 1.4.0, 1.15.0, 2.5.0]
• deepctr version [e.g. 0.8.6,]

Additional context Add any other context about the problem here.