How to add training = True in tensorflow-java?

The models that I have from Python works only if I provide training = True as well in Python.

for instance in Python;

import tensorflow as tf
my_model = tf.keras.models.load_model("model")
prdct = my_model(input_image, training = True)

Here, if I do not provide training = True, the values in prdct.numpy() are all "nan".

I have the same problem in tensorflow/java as well. I wonder if there is a way to give option training = True in tensorflow/java?
Here is the java code:

        TFloat32 ImagePredicted = (TFloat32) sess
        		.runner()
        		.feed(input_layer, inputTensor)
        		.fetch(outputLayer)
        		.run()
        		.get(0);

从 issue 中显示的 Java Runner 代码开始，检查已加载模型如何公开输入和选项，并将其与 Python 调用的 training 参数进行比较。确定 Java API 是否能够为导出的模型传递此设置，并通过一个有针对性的示例或测试记录或验证受支持的行为。