regression: Add AlexNet network with actual weights

- Update large testplan to include alexnet - Add fbuf for AlexNet with actual weights - Add leads for AlexNet Change-Id: Ib9fd2c003363855a84576a82ff7b258c2259456e Signed-off-by: Sharif Inamdar <isharif@nvidia.com> Reviewed-by: Prashant Gaikwad <pgaikwad@nvidia.com>
nvdla · Aug 7, 2018 · 1f44c24 · 1f44c24
1 parent 6410ae3
commit 1f44c24
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diff --git a/regression/flatbufs/kmd/NN/NN_L0_1_large_fbuf b/regression/flatbufs/kmd/NN/NN_L0_1_large_fbuf
diff --git a/regression/golden/NN_L0_1_large_b059a8/dla/lead.md5 b/regression/golden/NN_L0_1_large_b059a8/dla/lead.md5
@@ -0,0 +1 @@
+e8227b9700ca051bf2d48ad61d443c6d  o_000000.dimg
diff --git a/regression/golden/NN_L0_1_large_b059a8/dla/o_000000.dimg b/regression/golden/NN_L0_1_large_b059a8/dla/o_000000.dimg
diff --git a/regression/testplan/firmware_large.py b/regression/testplan/firmware_large.py
@@ -68,6 +68,8 @@ def registerNvLargeTests(self, testplan):
          "Max pooling, 8x8x32 input cube, 8x8x32 output cube, no padding, 1x1 kernel size. No need to compare data. It is enough if task succeeds to pass this test."])
     testplan.append(
         [0, "Written", kmd, "NN_L0_1_large_random", None, nn, devices, "AlexNet - With random Data and Weights", "AlexNet"])
+    testplan.append(
+        [0, "Written", kmd, "NN_L0_1_large", None, nn, devices, "AlexNet", "AlexNet"])
 
 def registerFirmwareLargeTests(self):
     testplan = []