MLBEDSW-10573: Fix buffered weights and unbuffered scales
When two convolution ops share the same weight tensor, but have
different bias tensor or output scaling, we can end up with a
convolution op that has buffered weights and unbuffered scales. In this
case we didn't properly handle depth slicing of the scales tensor. The
SCALE_BASE register was always set to the first slice of encoded scales.
Also change high level command stream log output to print addresses
as hex values.
Signed-off-by:
Johan Gunnarsson <johan.gunnarsson@arm.com>
Change-Id: I59c067e36e9c67c84b885bfa72380354c3707591
parent
0afd22cd
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mentioned in commit eaaf9dd8
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mentioned in merge request !146 (merged)
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mentioned in commit f6c64a1b
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