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(parent: 2926ad3) | patch
[layer] Support multiple outputs for mol attention layer
authorParichay Kapoor <pk.kapoor@samsung.com>
Fri, 3 Dec 2021 07:00:40 +0000 (16:00 +0900)
committerJijoong Moon <jijoong.moon@samsung.com>
Fri, 3 Dec 2021 12:51:57 +0000 (21:51 +0900)
commitd970e36404dfad3f8d40382e315962b179862e30
tree3723b69313eb631d85fd90b370aa0f51c941e650tree | snapshot
parent2926ad3f5511fe46d1bc2e41ef5c3910bb76f016commit | diff
[layer] Support multiple outputs for mol attention layer

Support multiple outputs for mol attention layer along with the
unitests.

Signed-off-by: Parichay Kapoor <pk.kapoor@samsung.com>
nntrainer/layers/mol_attention_layer.cpp diff | blob | history
packaging/unittest_models_v2.tar.gz diff | blob | history
test/input_gen/genModelTests_v2.py diff | blob | history
test/input_gen/recorder_v2.py diff | blob | history
test/unittest/layers/meson.build diff | blob | history
test/unittest/models/unittest_models.cpp diff | blob | history
test/unittest/unittest_nntrainer_models.cpp diff | blob | history
Domain: Machine Learning / ML Framework;