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Using Tensorflow Object Detection API to detect Waymo open dataset
Hello! Our static bug checker has found a performance issue in input/models/research/seq_flow_lite/models/sgnn/sgnn.py: fused_project
is repeatedly called in a for loop, but there is a tf.function decorated function func
defined and called in fused_project
.
In that case, when fused_project
is called in a loop, the function func
will create a new graph every time, and that can trigger tf.function retracing warning.
Here is the tensorflow document to support it.
Briefly, for better efficiency, it's better to use:
@tf.function
def inner():
pass
def outer():
inner()
than:
def outer():
@tf.function
def inner():
pass
inner()
Looking forward to your reply. Btw, I am glad to create a PR to fix it if you are too busy.
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