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Hello! Our static bug checker has found a performance issue in tensorboard-master/tensorboard/plugins/graph/graphs_demo.py: Python type argument step is passed to tf.function decorated function f instead of tensors. As there is a for loop, every time the value changes, a new graph will be generated, and that can trigger tf.function retracing warning.

Simialrly, in probability-main/discussion/turnkey_inference_candidate/window_tune_nuts_sampling.py, Python type argument num_steps is repeatedly passed to tf.function decorated function slow_adaptation_interval instead of tensors.

Here is the tensorflow document to support it.

Looking forward to your reply.