When I check the METADATA about the requirements of the Numpy version for TensorFlow(tf).
tf 1.15.0 requries 1.16.0 <= numpy < 2.0, and actually installed numpy = 1.19.2 tf 1.15.5 requries 1.16.0 <= numpy < 1.19.0, and actually installed numpy = 1.18.5
However, If I upgrade tf from 1.15.0 to 1.15.5, I need to down the numpy from 1.19.2 to 1.18.5, which is not our intention.
Is there anyone know how to avoid this big gap for numpy if I want to upgrade tf to 1.15.5? In other words, is the requirement for numpy version strictly conflict with version 1.19 when tf version is 1.15.5?