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[Testcase] Recurrent Network, Input Stream
authorMyungJoo Ham <myungjoo.ham@samsung.com>
Fri, 2 Nov 2018 07:11:36 +0000 (16:11 +0900)
committerJijoong Moon <jijoong.moon@samsung.com>
Tue, 6 Nov 2018 00:59:42 +0000 (09:59 +0900)
commitdcee36c31e41d0aa262073a179f22de238568a54
treec9bb4051d78849d8a7205cecb75ea05933c65139tree | snapshot
parentf89dd96c76238ef2badf6b39d2960f5463e8ead6commit | diff
[Testcase] Recurrent Network, Input Stream

In order to test recurrent neural networks,
we need to implement #738 (we surely need new synchronization
policy from tensor_mux/merge)

As the first step of #738, I, hereby, provide
the 4x4 BGRx video/x-raw steam with frame-sequence
identification marks.

Signed-off-by: MyungJoo Ham <myungjoo.ham@samsung.com>
tests/recurrent_pipeline/generateTestCase.py [new file with mode: 0644] blob
tests/recurrent_pipeline/runTest.sh [new file with mode: 0755] blob
Domain: Machine Learning / ML Framework;