Add mobilenetV2 quantized model am: 214c646005
am: 48e8c69d59

Change-Id: I6a5842a8bb7d7686793a15bb266335c3a7338dc9
diff --git a/README.txt b/README.txt
index b7ddf42..1072501 100644
--- a/README.txt
+++ b/README.txt
@@ -54,6 +54,18 @@
 Golden output generated with ToT tensorflow (Linux, CPU).
 
 ------------------------------------------------------------------
+- mobilenet_v2_1.0_224_quant.tflite
+8bit quantized MobileNet v2 tensorflow lite model based on:
+"MobileNetV2: Inverted Residuals and Linear Bottlenecks"
+https://arxiv.org/abs/1801.04381
+Apache License, Version 2.0
+
+Downloaded from
+http://download.tensorflow.org/models/tflite_11_05_08/mobilenet_v2_1.0_224_quant.tgz
+on Oct 30 2018.
+Golden output generated with ToT tflite (Linux, CPU).
+
+------------------------------------------------------------------
 - ssd_mobilenet_v1_coco_float.tflite
 Float version of MobileNet SSD tensorflow model based on:
 "Speed/accuracy trade-offs for modern convolutional object detectors."
diff --git a/assets/mobilenet_quantized/banana_v2_1.0_224.output b/assets/mobilenet_quantized/banana_v2_1.0_224.output
new file mode 100644
index 0000000..68cd76a
--- /dev/null
+++ b/assets/mobilenet_quantized/banana_v2_1.0_224.output
@@ -0,0 +1 @@
+3eHTXjWc41B,O0AD@=^G3"G<@CHJL@IQnE\fK?@ZMhIV@BJiWePQJAJBaA+IpV8RR`p=>56%KBCD!C<(74.<3gFJJoUF.Ic7?{i4``Q094F>?9NVa]AtV90@EWSPB@2-2M:TbbEL8MM>2+:/FOvbbecd487@I98,66954@M68:0?AWD>8<6d 5D;;9<+>:C70:E<LJK9=<@LR=W<:N>9X=NB5?CAGD85?Y<8767*MK=CIA@J;AGICB.C;DO?X78<BK7L<>O@B5;;8C+.*,2=C.10513&L97@5DN=ILA68T>D-LC<PA4F/*)F;.W*W6[-JH4<C@E9S?<42=4C-1OL8F?7<iH>940;8LL?>?/86OEE@3BCJEH?<EN<?+,E=7C=[JTX5?S¤mWNQYED;C5&BODWJ2D34?Q+9+\4LQ4d#:/D,Qj96-*y&H?M-.dI5CI{CIh^G<J1JKcE>O%>^L+1=>(*N…UG?8HME#15ML4A%Z8:XE=3A;94I>6X=N<U5D@E34..)==B6<./W>`IIJI8DL;13LD-dC:#?0=,1<"205CF=,F1RL(gE:/5L)92.+.94P6F*HQ4-u,FHB*0@3-YO*/=Y!F56N/>H8Y:1P0_9N%/M3Q>AA1S:80HF1AKXXC@(ULN]47B*?(I#%KU7(B:-.A7(:>2=`]B)5HP9P6/H,U+-KB&E(BsVR[?A4(RSF%CB7VR4>+&<ZWI?3M?W&V;DKI‰#%W)EKL]05KAAM153UM>2/0M7\?3B4>-H-T78'NL?o`4f6.:3G6R3C281CQq@9Z>C80y-H5MM)9'=%;HP=!9(8]):BH-873E?,`<EVZ70J1d^';5?9K8A-=>=P8;@>F-P-UWKV3c^'F(6`JFmA)3ERA,'L)4-=*HN64NK5<9A@3\:)P=`I5<>3M=*=6C>,(-\9==8O99B;{C):i/R+I42?DC<rP538,0<(D%,47(>FWapWh_ek`I+Wb;),F9:6SI,O)4FEI
\ No newline at end of file
diff --git a/assets/mobilenet_quantized/cup_v2_1.0_224.output b/assets/mobilenet_quantized/cup_v2_1.0_224.output
new file mode 100644
index 0000000..b64d4b0
--- /dev/null
+++ b/assets/mobilenet_quantized/cup_v2_1.0_224.output
@@ -0,0 +1 @@
+2>187*/)41D?:A8P:GF<B3-8BQ=0C149M73G@0;A=2G9>3GCAAQ;CC4@@>,YQR8A87=4<.3B)649E:=-'-8E**P:=>-9%?+C:::E@.28<30+'A?J7>'>RIBJPCJ>6=5*23A0,-0624601:B3Q739"X/514G8E@1P72A292<.DK7?J3+A<:8BJTA3E;5<H>4.0@EBG94G4NFFM5HAB8@7DCDI3C?GB;FKA=/1;;HJ;:-EAB?M:=$6<;D87D6BEDA5@:/>?JK?5JLTM4F@:B8@7>=6E68K?H>RC3KFB=G29'H*AR89NM6*3M?3:I*N@=S6*?1(<<:'(#>V#9+%@9/:9=9P>4G?@;64MVM0>K4-(4GBB]>JB2?FD;I>>3.C5MBNE:9*25>79>0+6[JSZ<I=8&D?QPWMWH-4SIQ/'G<@(NNG?)E2>&<4NI?l8f!UfL=/!W@C;6GRQ.KKˆlMEB1XX,<eA:5RL=>5LO5P8CX;:X12;1F4XG8ILXˀ@NJ95-DIQU8@=3;SDD1=\SUWDT1X6=06:C(yP:T"P9?KiJPD-+1SD??EL4(N@9?X)d+5>*=-:9FI;B@A>D3BD?A<BLB2D10T@YY5C/<L6IF\]R__U3QI>!G'AA5ACR0@a=F>.<C`=<Lv*30A@YB)/&AU.1C9MVNB'F)N:8U,d`U]=EA,E=G7N8R&4Bh/:lE.;T.>:E:uk61;[0%I06HIkE/š*2;<67R=51RJskKD#6-,C;E;OI81UL;W:NFYCP&K4fJ4F_gJ[P?.3AJ61BRc4/TBG0;<qFK03C8=D4K8V|OQZ+(I01DAHVD=7>@N4;HA@F,_XB>I:GPAV8<K‰E(S?BF9CGF9,?109Ie5A9<J5/H/G22Jj-ZGB=[#Q5ˆ/,C+y‰Be`0.*H=?JaM?,0JLQT>8P@?KXC1BJ2MBOV@.>D7)H<>&2GABEI7QHM@4GK>M.7JJDv½p4RAJ25-=.?,G.7(65MK.1J/6)-;G/U
\ No newline at end of file
diff --git a/assets/mobilenet_v2_1.0_224_quant.tflite b/assets/mobilenet_v2_1.0_224_quant.tflite
new file mode 100644
index 0000000..c26ff77
--- /dev/null
+++ b/assets/mobilenet_v2_1.0_224_quant.tflite
Binary files differ
diff --git a/assets/models_list/mobilenet_topk_aosp.json b/assets/models_list/mobilenet_topk_aosp.json
index 84c05c1..72dbcbc 100644
--- a/assets/models_list/mobilenet_topk_aosp.json
+++ b/assets/models_list/mobilenet_topk_aosp.json
@@ -211,6 +211,25 @@
           "labels": "image_classification/labels.txt",
           "preprocessor": "Inception"
       }
+    },
+    {
+      "name": "mobilenet_v2_1.0_224_quant_topk_aosp",
+      "modelFile": "mobilenet_v2_1.0_224_quant",
+      "baselineSec": 0.060,
+      "evaluator": {
+          "className": "TopK",
+          "expectedTop1": 0.728
+      },
+      "inputSize": [1, 224, 224, 3],
+      "dataSize": 1,
+      "inputScale": 0.007812,
+      "inputZeroPoint": 128.0,
+      "dataset": {
+          "inputPath": "image_classification",
+          "groundTruth": "image_classification/ground_truth_labels.txt",
+          "labels": "image_classification/labels.txt",
+          "preprocessor": "Inception"
+      }
     }
   ]
 }
diff --git a/assets/models_list/test_models.json b/assets/models_list/test_models.json
index 4b755f8..f5ab0be 100644
--- a/assets/models_list/test_models.json
+++ b/assets/models_list/test_models.json
@@ -2044,6 +2044,22 @@
           "output": "asr_float/61-70968-0049.output"
         }
       ]
+    },
+    {
+      "name": "mobilenet_v2_1.0_224_quant",
+      "baselineSec": 0.060,
+      "inputSize": [1, 224, 224, 3],
+      "dataSize": 1,
+      "inputOutputs": [
+        {
+          "input": "mobilenet_quantized/cup_224.input",
+          "output": "mobilenet_quantized/cup_1.0_224.output"
+        },
+        {
+          "input": "mobilenet_quantized/banana_224.input",
+          "output": "mobilenet_quantized/banana_1.0_224.output"
+        }
+      ]
     }
   ]
 }