pwnerharry / stronger_gcn Goto Github PK
View Code? Open in Web Editor NEWImplementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"
License: MIT License
Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"
License: MIT License
Hello! Our static bug checker has found a performance issue in TF2/utils.py: trainer
is repeatedly called in a for loop, but there is a tf.function decorated function optimize_one_step
defined and called in trainer
.
In that case, when is called in a loop, the function
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.
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