From: jijoong.moon <jijoong.moon@samsung.com>
Date: Mon, 26 Nov 2018 06:42:53 +0000 (+0900)
Subject: [Repo/RNN] Add dummy RNN test case
X-Git-Tag: v0.0.3~16
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=ebda5cfcd4d070d465141a803e9e3b3a4744dfcf;p=platform%2Fupstream%2Fnnstreamer.git

[Repo/RNN] Add dummy RNN test case

In order to test recurtion & Tensor repo, dumm RNN test case is added.

It generate 10 4x4x4x1 tensors and use first input of RNN. Second
input for RNN is generated by tensor_reposrc which take from
Tensor_Repo. Of course, the first tensor of tensor_reposrc is filled
with zero. After simple calcution,
RNN (build/nnstreamer_exampel/custom_exampe_RNN/libdummyRNN.so ) push
the result and tensor_reposink upload this output into Tensor_Repo.

**Self evaluation:**
1. Build test:	 [X]Passed [ ]Failed [ ]Skipped
2. Run test:	 [X]Passed [ ]Failed [ ]Skipped

Signed-off-by: jijoong.moon <jijoong.moon@samsung.com>
---

diff --git a/tests/recurrent_pipeline/generateTestCase.py b/tests/nnstreamer_repo_rnn/generateTestCase.py
similarity index 58%
rename from tests/recurrent_pipeline/generateTestCase.py
rename to tests/nnstreamer_repo_rnn/generateTestCase.py
index 78277f3..b3bd865 100644
--- a/tests/recurrent_pipeline/generateTestCase.py
+++ b/tests/nnstreamer_repo_rnn/generateTestCase.py
@@ -8,6 +8,7 @@
 # @brief Generate a sequence of video/x-raw frames
 # @todo Generate corresponding golden results
 # @author MyungJoo Ham <myungjoo.ham@samsung.com>
+# @author Jijoong Moon <jijoong.moon@samsung.com>
 # @url https://github.com/nnsuite/nnstreamer/issues/738
 
 
@@ -17,10 +18,13 @@ import sys
 import os
 import array as arr
 
+def location(c, w, h):
+    return c+4*(w+4*h)
+
 ##
 # @brief Generate a video/x-raw single frame
 # @return The frame buffer contents
-def genFrame(seq):
+def genFrame(seq, out):
     frame = arr.array('B', [0] * 64)
     width = 4
     height = 4
@@ -39,13 +43,34 @@ def genFrame(seq):
     # (RED, 1, 1), 0 to 255
     frame[bpp * ( 1 + width * 1 ) + 2] = seq # R
 
-    return frame.tostring()
+    for h in range(0,4):
+        w=0
+        for i in range(0,4):
+            out[location(i,w,h)]=frame[location(i,w,h)]
+        for w in range(1,3):
+            for c in range(0,4):
+                sum = frame[location(0,w,h)]
+                sum += out[location(0,w,h)]
+                out[location(0,w,h)] = sum/2
+        w=3
+        for i in range(0,4):
+            out[location(i,w,h)] = out[location(i,w,h)]
+
+    return frame.tostring(), out
 
 filename = "video_4x4xBGRx.xraw"
 f = open(filename, "w")
 
-for seq in range(0, 256):
-    f.write(genFrame(seq))
+out = arr.array('B',[0]*64)
+
+for seq in range(0, 10):
+    outfilename = "rnn.golden"
+    string, out=genFrame(seq,out)
+    if(seq == 9):
+        with open(outfilename,'wb') as file:
+            file.write(out.tostring())
+
+    f.write(string)
 
 f.close()
 
diff --git a/tests/nnstreamer_repo_rnn/runTest.sh b/tests/nnstreamer_repo_rnn/runTest.sh
new file mode 100755
index 0000000..3a8c875
--- /dev/null
+++ b/tests/nnstreamer_repo_rnn/runTest.sh
@@ -0,0 +1,27 @@
+#!/usr/bin/env bash
+##
+## @file runTest.sh
+## @author MyungJoo Ham <myungjoo.ham@gmail.com>
+## @author Jijoong Moon <jijoong.moon@gmail.com>
+## @date Nov 01 2018
+## @brief This is a template file for SSAT test cases. You may designate your own license.
+##
+if [[ "$SSATAPILOADED" != "1" ]]
+then
+	SILENT=0
+	INDEPENDENT=1
+	search="ssat-api.sh"
+	source $search
+	printf "${Blue}Independent Mode${NC}
+"
+fi
+testInit $1 # You may replace this with Test Group Name
+
+# Generate video_4x4xBGRx.xraw
+python generateTestCase.py
+
+gstTest "--gst-plugin-path=../../build tensor_mux name=mux ! tensor_filter framework=custom model=../../build/nnstreamer_example/custom_example_RNN/libdummyRNN.so ! tee name=t ! queue ! tensor_reposink slot-index=0 silent=false filesrc location=\"video_4x4xBGRx.xraw\" ! application/octet-stream ! tensor_converter input-dim=4:4:4:1 input-type=uint8 ! mux.sink_0 tensor_reposrc slot-index=0 silent=false caps=\"other/tensor, dim1=4, dim2=4, dim3=4, dim4=1, type=uint8, framerate=30/1\" ! mux.sink_1 t. ! queue ! multifilesink location=\"out_%1d.log\"" 1 0 0 $PERFORMANCE
+
+callCompareTest rnn.golden out_9.log 1-1 "Compare 1-1" 1 0
+
+report
diff --git a/tests/recurrent_pipeline/runTest.sh b/tests/recurrent_pipeline/runTest.sh
deleted file mode 100755
index 070fafa..0000000
--- a/tests/recurrent_pipeline/runTest.sh
+++ /dev/null
@@ -1,25 +0,0 @@
-#!/usr/bin/env bash
-##
-## @file runTest.sh
-## @author MyungJoo Ham <myungjoo.ham@gmail.com>
-## @date Nov 01 2018
-## @brief This is a template file for SSAT test cases. You may designate your own license.
-##
-if [[ "$SSATAPILOADED" != "1" ]]
-then
-	SILENT=0
-	INDEPENDENT=1
-	search="ssat-api.sh"
-	source $search
-	printf "${Blue}Independent Mode${NC}
-"
-fi
-testInit $1 # You may replace this with Test Group Name
-
-# Generate video_4x4xBGRx.xraw
-python generateTestCase.py
-
-# This test case is WIP. So do not fail unittest even if this case fails.
-gstTest "filesrc location=video_4x4xBGRx.xraw ! application/octet-stream ! tensor_converter input-dim=4:4:4:1 input-type=uint8 ! fakesink" 1R 1 0 0
-
-report