校准时提示“Invalid argument: You must feed a value for placeholder tensor **”
问题描述
训练后量化场景，修改模型后执行校准过程时，使用原始模型的输入输出做推理，报错提示必须给一个占位符输入数据，校准过程中断。提示信息如下：
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Traceback (most recent call last): File "xxx/site-packages/tensorflow_core/python/client/session.py", line 1365, in _do_call return fn(*args) File "xxx/site-packages/tensorflow_core/python/client/session.py", line 1350, in _run_fn target_list, run_metadata) File "xxx/site-packages/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found. (0) Invalid argument: You must feed a value for placeholder tensor 'input' with dtype float and shape [1,32,32,10] [[{{node input}}]] [[ConstantFoldingCtrl/conv1/search_n_quant/search_n_quant_SEARCHN/cond/Switch_0/_22]] (1) Invalid argument: You must feed a value for placeholder tensor 'input' with dtype float and shape [1,32,32,10] [[{{node input}}]] |
可能原因
调用quantize_model处理用户的图结构时，会进行融合、替换等图操作，可能改变用户模型的输出，将原有的输出节点与placeholder连接。
处理建议
该场景下调用quantize_model时，会有warning信息提示输出节点发生变化，在执行校准的过程中，根据提示信息，修改输出节点即可。
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