Using the 'reduce_max' function along a zero size dimesion

TensorFlow General Discussion
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Hi there,
I am to use ‘tf.reduce_max’ on tensor of arbitrary shape including possible zero size axes. As I can see, it results in ‘-inf’ for a regular tensor and ‘tf.float32.min’ for a ragged tensor (tensor’s ‘dtype’ is ‘float32’).
Is this a documented behavior? Can I be sure if it will remain unchanged?

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Hi @Lew_Xie,

Yes, the behavior of tf.reduce_max remains unchanged in the latest TF version 2.17. Could you please verify the attached reduce_max code for reference.

Thank You.