DNNMark is representative of several simple (fast) layers within ML
applications, which are heavily used in modern GPU applications. Thus,
we want to make sure support for these applications are tested. This
commit updates the weekly regression to run three variants: fwd_softmax,
bwd_bn, and fwd_pool -- ensuring we test both inference and training as
well as a variety of ML layers.
Change-Id: I38bfa9bd3a2817099ece46afc2d6132ce346e21a
Reviewed-on: https://gem5-review.googlesource.com/c/public/gem5/+/51187
Reviewed-by: Bobby R. Bruce <bbruce@ucdavis.edu>
Maintainer: Bobby R. Bruce <bbruce@ucdavis.edu>
Tested-by: kokoro <noreply+kokoro@google.com>
LULESH is a popular GPU HPC application that acts as a good test
for several memory and compute patterns. Thus, including it in
the weekly regressions will help verify correctness and
functionality for code that affects the GPU. The default LULESH
input runs 10 iterations and takes 3-4 hours. Hence, it is not
appropriate for nightly regressions.
Change-Id: Ic1b73ab32fdd5cb1b973f2676b272adb91b2a98e
Reviewed-on: https://gem5-review.googlesource.com/c/public/gem5/+/50952
Maintainer: Matt Sinclair <mattdsinclair@gmail.com>
Tested-by: kokoro <noreply+kokoro@google.com>
Reviewed-by: Bobby R. Bruce <bbruce@ucdavis.edu>
