diff --git a/.gitignore b/.gitignore
index f65ce068..1817ee1a 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,6 @@
+#system files
+__pycache__
+.DS_Store
 # virtual env
 .venv
 venv
@@ -20,4 +23,4 @@ tests/deep_mlp/data
 .vscode
 # docs
 doc/build
-doc/source/_build
+doc/source/_build
\ No newline at end of file
diff --git a/Pipfile.lock b/Pipfile.lock
index 0c7b4cd7..86a93d24 100644
--- a/Pipfile.lock
+++ b/Pipfile.lock
@@ -36,15 +36,29 @@
         },
         "click": {
             "hashes": [
-                "sha256:2335065e6395b9e67ca716de5f7526736bfa6ceead690adf616d925bdc622b13",
-                "sha256:5b94b49521f6456670fdb30cd82a4eca9412788a93fa6dd6df72c94d5a8ff2d7"
+                "sha256:8a18b4ea89d8820c5d0c7da8a64b2c324b4dabb695804dbfea19b9be9d88c0cc",
+                "sha256:e345d143d80bf5ee7534056164e5e112ea5e22716bbb1ce727941f4c8b471b9a"
             ],
-            "version": "==7.0"
+            "version": "==7.1.1"
+        },
+        "cycler": {
+            "hashes": [
+                "sha256:1d8a5ae1ff6c5cf9b93e8811e581232ad8920aeec647c37316ceac982b08cb2d",
+                "sha256:cd7b2d1018258d7247a71425e9f26463dfb444d411c39569972f4ce586b0c9d8"
+            ],
+            "version": "==0.10.0"
         },
         "e1839a8": {
             "editable": true,
             "path": "."
         },
+        "flatbuffers": {
+            "hashes": [
+                "sha256:63bb9a722d5e373701913e226135b28a6f6ac200d5cc7b4d919fa38d73b44610",
+                "sha256:9e9ef47fa92625c4721036e7c4124182668dc6021d9e7c73704edd395648deb9"
+            ],
+            "version": "==1.12"
+        },
         "gast": {
             "hashes": [
                 "sha256:8f46f5be57ae6889a4e16e2ca113b1703ef17f2b0abceb83793eaba9e1351a45",
@@ -61,39 +75,39 @@
         },
         "grpcio": {
             "hashes": [
-                "sha256:109d3a9aa4728f2a30b34bfd12d1d9bd5f5430cb51c983955309de2ab938f0b5",
-                "sha256:183c4bfeac07d2ffd7e462fc98f6bbb25718e80d252162ff80abc5249730f16b",
-                "sha256:374cf9033c42dc36084d0d20a9f92d792f0f44f6fc44c01e9d3a6d65d15c252f",
-                "sha256:3a2016a51c8668e87fd40af1e02d42e9fad90fdf7c5ba65e0a7d9b76f566513a",
-                "sha256:3fb35b3428ee877fa8236982d97fa539bb937faa3d15f1651fbb8b1df111467e",
-                "sha256:40772044359b744ab0357db7918307f26bd9336b8ca1ec1e0691112f8d70bb89",
-                "sha256:50f01cdb337f8020b20afd304f5b361156fcb5a74226fbb6f02076544213c0d8",
-                "sha256:6fa4fdd8c1668848e3decd6f3765edbfd028972720be399763e360ce267cb657",
-                "sha256:7c2fe5a631ee42e6e65d5e7698fa102f2097dcebc77f3516f572f7d865c23894",
-                "sha256:8de53c6320ebd54868713250ab9a6b117552e7f77d33d669aa39bd799a9aad57",
-                "sha256:979ae7b022a0a352df5d3625f3549eaeae525698460c7dd15f4a1d8902ee5b2f",
-                "sha256:a0fbb6fc41e9dbe3831cc97c64077d1e05cb71ba57eddcbf7f2e5a3bf0251bcf",
-                "sha256:aaf99d0db5f2ea57303d735d3ace68aa941c4de8048cb61dd50e4b8b76bcfe74",
-                "sha256:bae2d171b43bafb44d3c459e9e6f9573b26517f67cad5330c9a9a1000a598e8c",
-                "sha256:bda2ed8c6bab7749f0d8fae5c2e2fa50ad1901caea6de76b2159f44550642950",
-                "sha256:bdf61c33536b03c7f4f5268fe3811a238063418294698d118cb04ebb9b3fb793",
-                "sha256:c6d79360a7cfed9531f08d92dbc9d1ae9aff401d767f3bc610558617adf895b0",
-                "sha256:c88d5c76dcbb01cd466cd16144797fbba3c31c2bb8972f3b8cfb392ffbec727a",
-                "sha256:c905fa65356903424f3942872f0635bbb62bf017c54cd645498efd7b0c871c9f",
-                "sha256:d24acfb3b15a22c69a5558009f0f107daf11fb9954886b6fea8d2b20388b34ff",
-                "sha256:d50966b58109f726820a23d029fed25762ae9055c9f77ba715e6bd007968d480",
-                "sha256:dbc5a413bb9d530f6ef3c265476f351fc80ea5510b4ccdabf7571032161f11c4",
-                "sha256:ddb922c15c8769db146b759209fd6de20cca313ee200a026fff96a43f1699522",
-                "sha256:ea1c6caaa67262caddb2eea03c9f47a2021ac70a005b388fc33cbbd1e6809262",
-                "sha256:ea681b433728f690f8519e8d3e2c5d77c3b6b691fb2e017eb79b0a8497885f30",
-                "sha256:eb7cb6f4b681f30d0b3accb87eae4fc2a4ca2116ea5b83fd98b6869ba64fbb24",
-                "sha256:ef902a609be05e69e63126cd8ba6c4e8a28a6435c1b759169bd7162fb09fec1b",
-                "sha256:f0200ad9556eaa0b14549b2292227a658c6963e576d4ac0cb3a3ecc7fd56629c",
-                "sha256:f59ee620e4de94f307c6860bc37255a3c9f35c672d13939c2497120102cd69c2",
-                "sha256:f7403d8f8322612a9e9b7d37c5da770781e473e72735c01cad886568a7461f53",
-                "sha256:fa33a7c99059c2cd35016db66777b8349a0d83f07a3fcc62fd451c3dbae7c3fd"
-            ],
-            "version": "==1.28.0rc1"
+                "sha256:085bbf7fd0070b8d65e84aa32979f17cfe624d27b5ce23955ef770c19d2d9623",
+                "sha256:0ae207a47ec0ad66eb1f53a27d566674d13a236c62ced409891335318ea9b8c5",
+                "sha256:0c130204ff5de0b9f041bf3126db0d29369d69883592e4b0d3c19868ba0ced7e",
+                "sha256:0ef6b380a588c2c6b29c6cfa0ba7f5d367beb33d5504bcc68658fa241ad498d2",
+                "sha256:16e1edb367763ea08d0994d4635ec05f4f8db9db59c39304b061097e3b93df43",
+                "sha256:16f5523dacae5aaeda4cf900da7e980747f663298c38c18eb4e5317704aa007a",
+                "sha256:181b5078cf568f37915b8a118afcef5fc9f3128c59c38998ed93e7dd793e3928",
+                "sha256:245564713cb4ac7bccb0f11be63781beb62299a44d8ab69031c859dbd9461728",
+                "sha256:271abbe28eb99fa5c70b3f272c0c66b67dab7bb11e1d29d8e616b4e0e099d29a",
+                "sha256:2e1b01cba26988c811c7fb91a0bca19c9afb776cc3d228993f08d324bdd0510a",
+                "sha256:3366bd6412c1e73acb1ee27d7f0c7d7dbee118ad8d98c957c8173691b2effeec",
+                "sha256:3893b39a0a17d857dc3a42fdb02a26aa53a59bfce49987187bcc0261647f1f55",
+                "sha256:3c7864d5ae63b787001b01b376f6315aef1a015aa9c809535235ed0ead907919",
+                "sha256:42c6716adf3ec1f608b2b56e885f26dd86e80d2fc1617f51fc92d1b0b649e28e",
+                "sha256:4bef0756b9e0df78e8d67a5b1e0e89b7daf41525d575f74e1f14a993c55b680d",
+                "sha256:4fe081862e58b8fbef0e479aefc9a64f8f17f53074df1085d8c1fe825a6e5df4",
+                "sha256:505a8d1b4ac571a51f10c4c995d5d4714f03c886604dc3c097ef5fd57bcfcf0b",
+                "sha256:5c2e81b6ab9768c43f2ca1c9a4c925823aad79ae95efb351007df4b92ebce592",
+                "sha256:70ff2df0c1795c5cf585a72d95bb458838b40bad5653c314b9067ba819e918f9",
+                "sha256:97b5612fc5d4bbf0490a2d80bed5eab5b59112ef1640440c1a9ac824bafa6968",
+                "sha256:a35f8f4a0334ed8b05db90383aecef8e49923ab430689a4360a74052f3a89cf4",
+                "sha256:aafe85a8210dfa1da3c46831b7f00c3735240b7b028eeba339eaea6ffdb593fb",
+                "sha256:c2e53eb253840f05278a8410628419ba7060815f86d48c9d83b6047de21c9956",
+                "sha256:c3645887db3309fc87c3db740b977d403fb265ebab292f1f6a926c4661231fd5",
+                "sha256:c6565cc92853af13237b2233f331efdad07339d27fe1f5f74256bfde7dc2f587",
+                "sha256:cbc322c5d5615e67c2a15be631f64e6c2bab8c12505bc7c150948abdaa0bdbac",
+                "sha256:df749ee982ec35ab76d37a1e637b10a92b4573e2b4e1f86a5fa8a1273c40a850",
+                "sha256:e9439d7b801c86df13c6cbb4c5a7e181c058f3c119d5e119a94a5f3090a8f060",
+                "sha256:f493ac4754717f25ace3614a51dd408a32b8bff3c9c0c85e9356e7e0a120a8c8",
+                "sha256:f80d10bdf1a306f7063046321fd4efc7732a606acdd4e6259b8a37349079b704",
+                "sha256:f83b0c91796eb42865451a20e82246011078ba067ea0744f7301e12a94ae2e1b"
+            ],
+            "version": "==1.28.1"
         },
         "h5py": {
             "hashes": [
@@ -156,6 +170,27 @@
             ],
             "version": "==1.1.0"
         },
+        "kiwisolver": {
+            "hashes": [
+                "sha256:03662cbd3e6729f341a97dd2690b271e51a67a68322affab12a5b011344b973c",
+                "sha256:18d749f3e56c0480dccd1714230da0f328e6e4accf188dd4e6884bdd06bf02dd",
+                "sha256:247800260cd38160c362d211dcaf4ed0f7816afb5efe56544748b21d6ad6d17f",
+                "sha256:443c2320520eda0a5b930b2725b26f6175ca4453c61f739fef7a5847bd262f74",
+                "sha256:4eadb361baf3069f278b055e3bb53fa189cea2fd02cb2c353b7a99ebb4477ef1",
+                "sha256:556da0a5f60f6486ec4969abbc1dd83cf9b5c2deadc8288508e55c0f5f87d29c",
+                "sha256:603162139684ee56bcd57acc74035fceed7dd8d732f38c0959c8bd157f913fec",
+                "sha256:60a78858580761fe611d22127868f3dc9f98871e6fdf0a15cc4203ed9ba6179b",
+                "sha256:7cc095a4661bdd8a5742aaf7c10ea9fac142d76ff1770a0f84394038126d8fc7",
+                "sha256:c31bc3c8e903d60a1ea31a754c72559398d91b5929fcb329b1c3a3d3f6e72113",
+                "sha256:c955791d80e464da3b471ab41eb65cf5a40c15ce9b001fdc5bbc241170de58ec",
+                "sha256:d069ef4b20b1e6b19f790d00097a5d5d2c50871b66d10075dab78938dc2ee2cf",
+                "sha256:d52b989dc23cdaa92582ceb4af8d5bcc94d74b2c3e64cd6785558ec6a879793e",
+                "sha256:e586b28354d7b6584d8973656a7954b1c69c93f708c0c07b77884f91640b7657",
+                "sha256:efcf3397ae1e3c3a4a0a0636542bcad5adad3b1dd3e8e629d0b6e201347176c8",
+                "sha256:fccefc0d36a38c57b7bd233a9b485e2f1eb71903ca7ad7adacad6c28a56d62d2"
+            ],
+            "version": "==1.2.0"
+        },
         "markdown": {
             "hashes": [
                 "sha256:90fee683eeabe1a92e149f7ba74e5ccdc81cd397bd6c516d93a8da0ef90b6902",
@@ -165,74 +200,82 @@
         },
         "markupsafe": {
             "hashes": [
-                "sha256:00bc623926325b26bb9605ae9eae8a215691f33cae5df11ca5424f06f2d1f473",
-                "sha256:09027a7803a62ca78792ad89403b1b7a73a01c8cb65909cd876f7fcebd79b161",
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-                "sha256:46c99d2de99945ec5cb54f23c8cd5689f6d7177305ebff350a58ce5f8de1669e",
-                "sha256:500d4957e52ddc3351cabf489e79c91c17f6e0899158447047588650b5e69183",
-                "sha256:535f6fc4d397c1563d08b88e485c3496cf5784e927af890fb3c3aac7f933ec66",
-                "sha256:596510de112c685489095da617b5bcbbac7dd6384aeebeda4df6025d0256a81b",
-                "sha256:62fe6c95e3ec8a7fad637b7f3d372c15ec1caa01ab47926cfdf7a75b40e0eac1",
-                "sha256:6788b695d50a51edb699cb55e35487e430fa21f1ed838122d722e0ff0ac5ba15",
-                "sha256:6dd73240d2af64df90aa7c4e7481e23825ea70af4b4922f8ede5b9e35f78a3b1",
-                "sha256:717ba8fe3ae9cc0006d7c451f0bb265ee07739daf76355d06366154ee68d221e",
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-                "sha256:7c1699dfe0cf8ff607dbdcc1e9b9af1755371f92a68f706051cc8c37d447c905",
-                "sha256:88e5fcfb52ee7b911e8bb6d6aa2fd21fbecc674eadd44118a9cc3863f938e735",
-                "sha256:8defac2f2ccd6805ebf65f5eeb132adcf2ab57aa11fdf4c0dd5169a004710e7d",
-                "sha256:98c7086708b163d425c67c7a91bad6e466bb99d797aa64f965e9d25c12111a5e",
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-                "sha256:9bf40443012702a1d2070043cb6291650a0841ece432556f784f004937f0f32c",
-                "sha256:ade5e387d2ad0d7ebf59146cc00c8044acbd863725f887353a10df825fc8ae21",
-                "sha256:b00c1de48212e4cc9603895652c5c410df699856a2853135b3967591e4beebc2",
-                "sha256:b1282f8c00509d99fef04d8ba936b156d419be841854fe901d8ae224c59f0be5",
-                "sha256:b2051432115498d3562c084a49bba65d97cf251f5a331c64a12ee7e04dacc51b",
-                "sha256:ba59edeaa2fc6114428f1637ffff42da1e311e29382d81b339c1817d37ec93c6",
-                "sha256:c8716a48d94b06bb3b2524c2b77e055fb313aeb4ea620c8dd03a105574ba704f",
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-                "sha256:cdb132fc825c38e1aeec2c8aa9338310d29d337bebbd7baa06889d09a60a1fa2",
-                "sha256:e249096428b3ae81b08327a63a485ad0878de3fb939049038579ac0ef61e17e7",
-                "sha256:e8313f01ba26fbbe36c7be1966a7b7424942f670f38e666995b88d012765b9be"
+                "sha256:06358015a4dee8ee23ae426bf885616ab3963622defd829eb45b44e3dee3515f",
+                "sha256:0b0c4fc852c5f02c6277ef3b33d23fcbe89b1b227460423e3335374da046b6db",
+                "sha256:267677fc42afed5094fc5ea1c4236bbe4b6a00fe4b08e93451e65ae9048139c7",
+                "sha256:303cb70893e2c345588fb5d5b86e0ca369f9bb56942f03064c5e3e75fa7a238a",
+                "sha256:3c9b624a0d9ed5a5093ac4edc4e823e6b125441e60ef35d36e6f4a6fdacd5054",
+                "sha256:42033e14cae1f6c86fc0c3e90d04d08ce73ac8e46ba420a0d22d545c2abd4977",
+                "sha256:4e4a99b6af7bdc0856b50020c095848ec050356a001e1f751510aef6ab14d0e0",
+                "sha256:4eb07faad54bb07427d848f31030a65a49ebb0cec0b30674f91cf1ddd456bfe4",
+                "sha256:63a7161cd8c2bc563feeda45df62f42c860dd0675e2b8da2667f25bb3c95eaba",
+                "sha256:68e0fd039b68d2945b4beb947d4023ca7f8e95b708031c345762efba214ea761",
+                "sha256:8092a63397025c2f655acd42784b2a1528339b90b987beb9253f22e8cdbb36c3",
+                "sha256:841218860683c0f2223e24756843d84cc49cccdae6765e04962607754a52d3e0",
+                "sha256:94076b2314bd2f6cfae508ad65b4d493e3a58a50112b7a2cbb6287bdbc404ae8",
+                "sha256:9d22aff1c5322e402adfb3ce40839a5056c353e711c033798cf4f02eb9f5124d",
+                "sha256:b0e4584f62b3e5f5c1a7bcefd2b52f236505e6ef032cc508caa4f4c8dc8d3af1",
+                "sha256:b1163ffc1384d242964426a8164da12dbcdbc0de18ea36e2c34b898ed38c3b45",
+                "sha256:beac28ed60c8e838301226a7a85841d0af2068eba2dcb1a58c2d32d6c05e440e",
+                "sha256:c29f096ce79c03054a1101d6e5fe6bf04b0bb489165d5e0e9653fb4fe8048ee1",
+                "sha256:c58779966d53e5f14ba393d64e2402a7926601d1ac8adeb4e83893def79d0428",
+                "sha256:cfe14b37908eaf7d5506302987228bff69e1b8e7071ccd4e70fd0283b1b47f0b",
+                "sha256:e834249c45aa9837d0753351cdca61a4b8b383cc9ad0ff2325c97ff7b69e72a6",
+                "sha256:eed1b234c4499811ee85bcefa22ef5e466e75d132502226ed29740d593316c1f"
+            ],
+            "version": "==2.0.0a1"
+        },
+        "matplotlib": {
+            "hashes": [
+                "sha256:2466d4dddeb0f5666fd1e6736cc5287a4f9f7ae6c1a9e0779deff798b28e1d35",
+                "sha256:282b3fc8023c4365bad924d1bb442ddc565c2d1635f210b700722776da466ca3",
+                "sha256:4bb50ee4755271a2017b070984bcb788d483a8ce3132fab68393d1555b62d4ba",
+                "sha256:56d3147714da5c7ac4bc452d041e70e0e0b07c763f604110bd4e2527f320b86d",
+                "sha256:7a9baefad265907c6f0b037c8c35a10cf437f7708c27415a5513cf09ac6d6ddd",
+                "sha256:aae7d107dc37b4bb72dcc45f70394e6df2e5e92ac4079761aacd0e2ad1d3b1f7",
+                "sha256:af14e77829c5b5d5be11858d042d6f2459878f8e296228c7ea13ec1fd308eb68",
+                "sha256:c1cf735970b7cd424502719b44288b21089863aaaab099f55e0283a721aaf781",
+                "sha256:ce378047902b7a05546b6485b14df77b2ff207a0054e60c10b5680132090c8ee",
+                "sha256:d35891a86a4388b6965c2d527b9a9f9e657d9e110b0575ca8a24ba0d4e34b8fc",
+                "sha256:e06304686209331f99640642dee08781a9d55c6e32abb45ed54f021f46ccae47",
+                "sha256:e20ba7fb37d4647ac38f3c6d8672dd8b62451ee16173a0711b37ba0ce42bf37d",
+                "sha256:f4412241e32d0f8d3713b68d3ca6430190a5e8a7c070f1c07d7833d8c5264398",
+                "sha256:ffe2f9cdcea1086fc414e82f42271ecf1976700b8edd16ca9d376189c6d93aee"
             ],
-            "version": "==1.1.1"
+            "version": "==3.2.1"
         },
         "mock": {
             "hashes": [
-                "sha256:2a572b715f09dd2f0a583d8aeb5bb67d7ed7a8fd31d193cf1227a99c16a67bc3",
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@@ -283,30 +326,30 @@
         },
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+                "sha256:cd47793f7bc9285a88c2b5551d3f16a2ddd005789614a34c5f4a598c2a162383",
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+                "sha256:eb84e7e5b07ff3725ab05977ac56d5eeb0c510795aeb48e8b691491be3c5745b"
+            ],
+            "version": "==7.1.1"
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         "protobuf": {
             "hashes": [
@@ -331,21 +374,35 @@
             ],
             "version": "==3.11.3"
         },
+        "pyparsing": {
+            "hashes": [
+                "sha256:67199f0c41a9c702154efb0e7a8cc08accf830eb003b4d9fa42c4059002e2492",
+                "sha256:700d17888d441604b0bd51535908dcb297561b040819cccde647a92439db5a2a"
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+            "version": "==3.0.0a1"
+        },
+        "python-dateutil": {
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+                "sha256:75bb3f31ea686f1197762692a9ee6a7550b59fc6ca3a1f4b5d7e32fb98e2da2a"
+            ],
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+        },
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+                "sha256:73f099454b799e05e5ab51423c7bcf361c58d3206fa7b0d555426b1f4d9a3eaf",
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+                "sha256:b8eac752c5e14d3eca0e6dd9199cd627518cb5ec06add0de9d32baeee6fe645d",
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-            "version": "==5.3"
+            "version": "==5.3.1"
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         "six": {
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@@ -438,18 +495,18 @@
         },
         "typing-extensions": {
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-            "version": "==3.7.4.1"
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         "werkzeug": {
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-            "version": "==1.0.0"
+            "version": "==1.0.1"
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         "wheel": {
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@@ -492,10 +549,10 @@
         },
         "certifi": {
             "hashes": [
-                "sha256:017c25db2a153ce562900032d5bc68e9f191e44e9a0f762f373977de9df1fbb3",
-                "sha256:25b64c7da4cd7479594d035c08c2d809eb4aab3a26e5a990ea98cc450c320f1f"
+                "sha256:1d987a998c75633c40847cc966fcf5904906c920a7f17ef374f5aa4282abd304",
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-            "version": "==2019.11.28"
+            "version": "==2020.4.5.1"
         },
         "chardet": {
             "hashes": [
@@ -556,11 +613,11 @@
         },
         "importlib-metadata": {
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-                "sha256:b97607a1a18a5100839aec1dc26a1ea17ee0d93b20b0f008d80a5a050afb200b"
+                "sha256:2a688cbaa90e0cc587f1df48bdc97a6eadccdcd9c35fb3f976a09e3b5016d90f",
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             "markers": "python_version < '3.8'",
-            "version": "==1.5.0"
+            "version": "==1.6.0"
         },
         "isort": {
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@@ -578,45 +635,24 @@
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         "kiwisolver": {
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@@ -646,61 +682,49 @@
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@@ -718,63 +742,63 @@
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-                "sha256:5bfef0b1cdde9f33881c913af14e43db69815c7e8df429ceda4c70a5e529210f",
-                "sha256:5f3546ceb08089cedb9e8ff7e3f6a7042bb5b37c2a95d392fb027c3e53a2da00",
-                "sha256:5f7ae9126d16194f114435ebb79cc536b5682002a4fa57fa7bb2cbcde65f2f4d",
-                "sha256:62a889aeb0a79e50ecf5af272e9e3c164148f4bd9636cc6bcfa182a52c8b0533",
-                "sha256:7406f5a9b2fd966e79e6abdaf700585a4522e98d6559ce37fc52e5c955fade0a",
-                "sha256:8453f914f4e5a3d828281a6628cf517832abfa13ff50679a4848926dac7c0358",
-                "sha256:87269cc6ce1e3dee11f23fa515e4249ae678dbbe2704598a51cee76c52e19cda",
-                "sha256:875358310ed7abd5320f21dd97351d62de4929b0426cdb1eaa904b64ac36b435",
-                "sha256:8ac6ce7ff3892e5deaab7abaec763538ffd011f74dc1801d93d3c5fc541feee2",
-                "sha256:91b710e3353aea6fc758cdb7136d9bbdcb26b53cefe43e2cba953ac3ee1d3313",
-                "sha256:9d2ba4ed13af381233e2d810ff3bab84ef9f18430a9b336ab69eaf3cd24299ff",
-                "sha256:a28aca76fac5b5e04ce42122e5407e111bd5f56dfb881d2ee07b617b020003e3",
-                "sha256:a62ec5e13e227399be73303ff301f2865bf68657d15ea50b038d25fc41097317",
-                "sha256:ab76e5580b0ed647a8d8d2d2daee170e8e9f8aad225ede314f684e297e3643c2",
-                "sha256:bf4003aa538af3f4205c5fac56eacaa67a6dd81e454ffd9e9f055fff9f1bc614",
-                "sha256:bf598d2e37cf8edb1a2f26ed3fb255191f5232badea4003c16301cb94ac5bdd0",
-                "sha256:c18f70dc27cc5d236f10e7834236aff60aadc71346a5bc1f4f83a4b3abee6386",
-                "sha256:c5ed816632204a2fc9486d784d8e0d0ae754347aba99c811458d69fcdfd2a2f9",
-                "sha256:dc058b7833184970d1248135b8b0ab702e6daa833be14035179f2acb78ff5636",
-                "sha256:ff3797f2f16bf9d17d53257612da84dd0758db33935777149b3334c01ff68865"
-            ],
-            "version": "==7.0.0"
+                "sha256:04a10558320eba9137d6a78ca6fc8f4a5801f1b971152938851dc4629d903579",
+                "sha256:0f89ddc77cf421b8cd34ae852309501458942bf370831b4a9b406156b599a14e",
+                "sha256:251e5618125ec12ac800265d7048f5857a8f8f1979db9ea3e11382e159d17f68",
+                "sha256:291bad7097b06d648222b769bbfcd61e40d0abdfe10df686d20ede36eb8162b6",
+                "sha256:2f0b52a08d175f10c8ea36685115681a484c55d24d0933f9fd911e4111c04144",
+                "sha256:3713386d1e9e79cea1c5e6aaac042841d7eef838cc577a3ca153c8bedf570287",
+                "sha256:433bbc2469a2351bea53666d97bb1eb30f0d56461735be02ea6b27654569f80f",
+                "sha256:4510c6b33277970b1af83c987277f9a08ec2b02cc20ac0f9234e4026136bb137",
+                "sha256:50a10b048f4dd81c092adad99fa5f7ba941edaf2f9590510109ac2a15e706695",
+                "sha256:670e58d3643971f4afd79191abd21623761c2ebe61db1c2cb4797d817c4ba1a7",
+                "sha256:6c1924ed7dbc6ad0636907693bbbdd3fdae1d73072963e71f5644b864bb10b4d",
+                "sha256:721c04d3c77c38086f1f95d1cd8df87f2f9a505a780acf8575912b3206479da1",
+                "sha256:8d5799243050c2833c2662b824dfb16aa98e408d2092805edea4300a408490e7",
+                "sha256:90cd441a1638ae176eab4d8b6b94ab4ec24b212ed4c3fbee2a6e74672481d4f8",
+                "sha256:a5dc9f28c0239ec2742d4273bd85b2aa84655be2564db7ad1eb8f64b1efcdc4c",
+                "sha256:b2f3e8cc52ecd259b94ca880fea0d15f4ebc6da2cd3db515389bb878d800270f",
+                "sha256:b7453750cf911785009423789d2e4e5393aae9cbb8b3f471dab854b85a26cb89",
+                "sha256:b99b2607b6cd58396f363b448cbe71d3c35e28f03e442ab00806463439629c2c",
+                "sha256:cd47793f7bc9285a88c2b5551d3f16a2ddd005789614a34c5f4a598c2a162383",
+                "sha256:d6bf085f6f9ec6a1724c187083b37b58a8048f86036d42d21802ed5d1fae4853",
+                "sha256:da737ab273f4d60ae552f82ad83f7cbd0e173ca30ca20b160f708c92742ee212",
+                "sha256:eb84e7e5b07ff3725ab05977ac56d5eeb0c510795aeb48e8b691491be3c5745b"
+            ],
+            "version": "==7.1.1"
         },
         "pluggy": {
             "hashes": [
@@ -806,10 +830,10 @@
         },
         "pygments": {
             "hashes": [
-                "sha256:2a3fe295e54a20164a9df49c75fa58526d3be48e14aceba6d6b1e8ac0bfd6f1b",
-                "sha256:98c8aa5a9f778fcd1026a17361ddaf7330d1b7c62ae97c3bb0ae73e0b9b6b0fe"
+                "sha256:647344a061c249a3b74e230c739f434d7ea4d8b1d5f3721bc0f3558049b38f44",
+                "sha256:ff7a40b4860b727ab48fad6360eb351cc1b33cbf9b15a0f689ca5353e9463324"
             ],
-            "version": "==2.5.2"
+            "version": "==2.6.1"
         },
         "pylint": {
             "hashes": [
@@ -821,18 +845,18 @@
         },
         "pyparsing": {
             "hashes": [
-                "sha256:4c830582a84fb022400b85429791bc551f1f4871c33f23e44f353119e92f969f",
-                "sha256:c342dccb5250c08d45fd6f8b4a559613ca603b57498511740e65cd11a2e7dcec"
+                "sha256:67199f0c41a9c702154efb0e7a8cc08accf830eb003b4d9fa42c4059002e2492",
+                "sha256:700d17888d441604b0bd51535908dcb297561b040819cccde647a92439db5a2a"
             ],
-            "version": "==2.4.6"
+            "version": "==3.0.0a1"
         },
         "pytest": {
             "hashes": [
-                "sha256:0d5fe9189a148acc3c3eb2ac8e1ac0742cb7618c084f3d228baaec0c254b318d",
-                "sha256:ff615c761e25eb25df19edddc0b970302d2a9091fbce0e7213298d85fb61fef6"
+                "sha256:0e5b30f5cb04e887b91b1ee519fa3d89049595f428c1db76e73bd7f17b09b172",
+                "sha256:84dde37075b8805f3d1f392cc47e38a0e59518fb46a431cfdaf7cf1ce805f970"
             ],
             "index": "pypi",
-            "version": "==5.3.5"
+            "version": "==5.4.1"
         },
         "python-dateutil": {
             "hashes": [
@@ -850,19 +874,19 @@
         },
         "pyyaml": {
             "hashes": [
-                "sha256:059b2ee3194d718896c0ad077dd8c043e5e909d9180f387ce42012662a4946d6",
-                "sha256:1cf708e2ac57f3aabc87405f04b86354f66799c8e62c28c5fc5f88b5521b2dbf",
-                "sha256:24521fa2890642614558b492b473bee0ac1f8057a7263156b02e8b14c88ce6f5",
-                "sha256:4fee71aa5bc6ed9d5f116327c04273e25ae31a3020386916905767ec4fc5317e",
-                "sha256:70024e02197337533eef7b85b068212420f950319cc8c580261963aefc75f811",
-                "sha256:74782fbd4d4f87ff04159e986886931456a1894c61229be9eaf4de6f6e44b99e",
-                "sha256:940532b111b1952befd7db542c370887a8611660d2b9becff75d39355303d82d",
-                "sha256:cb1f2f5e426dc9f07a7681419fe39cee823bb74f723f36f70399123f439e9b20",
-                "sha256:dbbb2379c19ed6042e8f11f2a2c66d39cceb8aeace421bfc29d085d93eda3689",
-                "sha256:e3a057b7a64f1222b56e47bcff5e4b94c4f61faac04c7c4ecb1985e18caa3994",
-                "sha256:e9f45bd5b92c7974e59bcd2dcc8631a6b6cc380a904725fce7bc08872e691615"
+                "sha256:06a0d7ba600ce0b2d2fe2e78453a470b5a6e000a985dd4a4e54e436cc36b0e97",
+                "sha256:240097ff019d7c70a4922b6869d8a86407758333f02203e0fc6ff79c5dcede76",
+                "sha256:4f4b913ca1a7319b33cfb1369e91e50354d6f07a135f3b901aca02aa95940bd2",
+                "sha256:69f00dca373f240f842b2931fb2c7e14ddbacd1397d57157a9b005a6a9942648",
+                "sha256:73f099454b799e05e5ab51423c7bcf361c58d3206fa7b0d555426b1f4d9a3eaf",
+                "sha256:74809a57b329d6cc0fdccee6318f44b9b8649961fa73144a98735b0aaf029f1f",
+                "sha256:7739fc0fa8205b3ee8808aea45e968bc90082c10aef6ea95e855e10abf4a37b2",
+                "sha256:95f71d2af0ff4227885f7a6605c37fd53d3a106fcab511b8860ecca9fcf400ee",
+                "sha256:b8eac752c5e14d3eca0e6dd9199cd627518cb5ec06add0de9d32baeee6fe645d",
+                "sha256:cc8955cfbfc7a115fa81d85284ee61147059a753344bc51098f3ccd69b0d7e0c",
+                "sha256:d13155f591e6fcc1ec3b30685d50bf0711574e2c0dfffd7644babf8b5102ca1a"
             ],
-            "version": "==5.3"
+            "version": "==5.3.1"
         },
         "requests": {
             "hashes": [
@@ -923,33 +947,33 @@
         },
         "sphinx": {
             "hashes": [
-                "sha256:776ff8333181138fae52df65be733127539623bb46cc692e7fa0fcfc80d7aa88",
-                "sha256:ca762da97c3b5107cbf0ab9e11d3ec7ab8d3c31377266fd613b962ed971df709"
+                "sha256:3145d87d0962366d4c5264c39094eae3f5788d01d4b1a12294051bfe4271d91b",
+                "sha256:d7c6e72c6aa229caf96af82f60a0d286a1521d42496c226fe37f5a75dcfe2941"
             ],
             "index": "pypi",
-            "version": "==2.4.3"
+            "version": "==3.0.2"
         },
         "sphinx-autoapi": {
             "hashes": [
-                "sha256:623646ed1be7127486cab5f4e3ffc17a9327c2d2f3fce18effc39d73975a2973",
-                "sha256:b6b5f008edc174768a4d1fa87bc8ba1287744c9a9ff82e49064783da7a2ad03e"
+                "sha256:90ee5e312edaa204d7c0ce5312a8e56898d34620616662e1aec26e33ea84f758",
+                "sha256:abba752d7de5fea52ebc79198e4a3798ce76b42cfd89e2b0a41b6068885704a6"
             ],
             "index": "pypi",
-            "version": "==1.2.1"
+            "version": "==1.3.0"
         },
         "sphinxcontrib-applehelp": {
             "hashes": [
-                "sha256:edaa0ab2b2bc74403149cb0209d6775c96de797dfd5b5e2a71981309efab3897",
-                "sha256:fb8dee85af95e5c30c91f10e7eb3c8967308518e0f7488a2828ef7bc191d0d5d"
+                "sha256:806111e5e962be97c29ec4c1e7fe277bfd19e9652fb1a4392105b43e01af885a",
+                "sha256:a072735ec80e7675e3f432fcae8610ecf509c5f1869d17e2eecff44389cdbc58"
             ],
-            "version": "==1.0.1"
+            "version": "==1.0.2"
         },
         "sphinxcontrib-devhelp": {
             "hashes": [
-                "sha256:6c64b077937330a9128a4da74586e8c2130262f014689b4b89e2d08ee7294a34",
-                "sha256:9512ecb00a2b0821a146736b39f7aeb90759834b07e81e8cc23a9c70bacb9981"
+                "sha256:8165223f9a335cc1af7ffe1ed31d2871f325254c0423bc0c4c7cd1c1e4734a2e",
+                "sha256:ff7f1afa7b9642e7060379360a67e9c41e8f3121f2ce9164266f61b9f4b338e4"
             ],
-            "version": "==1.0.1"
+            "version": "==1.0.2"
         },
         "sphinxcontrib-htmlhelp": {
             "hashes": [
@@ -967,17 +991,17 @@
         },
         "sphinxcontrib-qthelp": {
             "hashes": [
-                "sha256:513049b93031beb1f57d4daea74068a4feb77aa5630f856fcff2e50de14e9a20",
-                "sha256:79465ce11ae5694ff165becda529a600c754f4bc459778778c7017374d4d406f"
+                "sha256:4c33767ee058b70dba89a6fc5c1892c0d57a54be67ddd3e7875a18d14cba5a72",
+                "sha256:bd9fc24bcb748a8d51fd4ecaade681350aa63009a347a8c14e637895444dfab6"
             ],
-            "version": "==1.0.2"
+            "version": "==1.0.3"
         },
         "sphinxcontrib-serializinghtml": {
             "hashes": [
-                "sha256:c0efb33f8052c04fd7a26c0a07f1678e8512e0faec19f4aa8f2473a8b81d5227",
-                "sha256:db6615af393650bf1151a6cd39120c29abaf93cc60db8c48eb2dddbfdc3a9768"
+                "sha256:eaa0eccc86e982a9b939b2b82d12cc5d013385ba5eadcc7e4fed23f4405f77bc",
+                "sha256:f242a81d423f59617a8e5cf16f5d4d74e28ee9a66f9e5b637a18082991db5a9a"
             ],
-            "version": "==1.1.3"
+            "version": "==1.1.4"
         },
         "typed-ast": {
             "hashes": [
@@ -1015,17 +1039,17 @@
         },
         "urllib3": {
             "hashes": [
-                "sha256:2f3db8b19923a873b3e5256dc9c2dedfa883e33d87c690d9c7913e1f40673cdc",
-                "sha256:87716c2d2a7121198ebcb7ce7cccf6ce5e9ba539041cfbaeecfb641dc0bf6acc"
+                "sha256:3018294ebefce6572a474f0604c2021e33b3fd8006ecd11d62107a5d2a963527",
+                "sha256:88206b0eb87e6d677d424843ac5209e3fb9d0190d0ee169599165ec25e9d9115"
             ],
-            "version": "==1.25.8"
+            "version": "==1.25.9"
         },
         "wcwidth": {
             "hashes": [
-                "sha256:8fd29383f539be45b20bd4df0dc29c20ba48654a41e661925e612311e9f3c603",
-                "sha256:f28b3e8a6483e5d49e7f8949ac1a78314e740333ae305b4ba5defd3e74fb37a8"
+                "sha256:cafe2186b3c009a04067022ce1dcd79cb38d8d65ee4f4791b8888d6599d1bbe1",
+                "sha256:ee73862862a156bf77ff92b09034fc4825dd3af9cf81bc5b360668d425f3c5f1"
             ],
-            "version": "==0.1.8"
+            "version": "==0.1.9"
         },
         "wrapt": {
             "hashes": [
@@ -1035,10 +1059,10 @@
         },
         "zipp": {
             "hashes": [
-                "sha256:12248a63bbdf7548f89cb4c7cda4681e537031eda29c02ea29674bc6854460c2",
-                "sha256:7c0f8e91abc0dc07a5068f315c52cb30c66bfbc581e5b50704c8a2f6ebae794a"
+                "sha256:aa36550ff0c0b7ef7fa639055d797116ee891440eac1a56f378e2d3179e0320b",
+                "sha256:c599e4d75c98f6798c509911d08a22e6c021d074469042177c8c86fb92eefd96"
             ],
-            "version": "==3.0.0"
+            "version": "==3.1.0"
         }
     }
 }
diff --git a/setup.py b/setup.py
index 03b526b2..1dac063d 100644
--- a/setup.py
+++ b/setup.py
@@ -61,6 +61,7 @@ class _Develop(_CompileFlatbuffMixin, _develop): pass
         'graphviz',
         'matplotlib',
         'toml',
+        'flatbuffers',
         'ortools',
     ],
     extras_require={
diff --git a/tests/test_frontend/conftest.py b/tests/test_frontend/conftest.py
new file mode 100644
index 00000000..909f17c1
--- /dev/null
+++ b/tests/test_frontend/conftest.py
@@ -0,0 +1,13 @@
+import os
+
+import pytest
+
+
+@pytest.fixture(name='tflm_mnist_path', scope='session')
+def tflm_mnist_path():
+    model_path = os.path.join(
+        os.path.dirname(__file__),
+        'model_files',
+        'quant_mnist_cnn.tflite'
+    )
+    return model_path
diff --git a/tests/test_frontend/model_files/quant_mnist_cnn.tflite b/tests/test_frontend/model_files/quant_mnist_cnn.tflite
new file mode 100644
index 00000000..4c50ff0d
Binary files /dev/null and b/tests/test_frontend/model_files/quant_mnist_cnn.tflite differ
diff --git a/tests/test_frontend/test_tflite.py b/tests/test_frontend/test_tflite.py
new file mode 100644
index 00000000..c2a69bab
--- /dev/null
+++ b/tests/test_frontend/test_tflite.py
@@ -0,0 +1,11 @@
+def test_parser(tflm_mnist_path):
+    from utensor_cgen.frontend.tflite import TFLiteParser
+
+    parser = TFLiteParser({})
+    ugraph = parser.parse(tflm_mnist_path)
+
+    assert ugraph.output_nodes, \
+        'output_nodes is empty: {}'.format(ugraph.output_nodes)
+    assert ugraph.topo_order, \
+        'topo_order is empty: {}'.format(ugraph.topo_order)
+    assert ugraph.lib_name == 'tflite'
diff --git a/utensor_cgen/backend/utensor/snippets/_types.py b/utensor_cgen/backend/utensor/snippets/_types.py
index 24f875ef..c3e72d2c 100644
--- a/utensor_cgen/backend/utensor/snippets/_types.py
+++ b/utensor_cgen/backend/utensor/snippets/_types.py
@@ -55,6 +55,8 @@ def _init(cls):
                                             tensor_type_str="uint16_t"),
         np.dtype('int8'): _TYPE_MAP_VALUE(importer_type_str="int8",
                                           tensor_type_str="q7_t"),
+        np.dtype('uint8'): _TYPE_MAP_VALUE(importer_type_str="uint8",
+                                          tensor_type_str="uint8_t"),
       }
       cls._inited = True
 
diff --git a/utensor_cgen/frontend/tflite.py b/utensor_cgen/frontend/tflite.py
new file mode 100644
index 00000000..8d679176
--- /dev/null
+++ b/utensor_cgen/frontend/tflite.py
@@ -0,0 +1,381 @@
+import os
+import re
+
+import numpy as np
+from utensor_cgen.frontend import FrontendSelector
+from utensor_cgen.frontend.base import Parser
+from utensor_cgen.ir.base import OperationInfo, TensorInfo, uTensorGraph
+from utensor_cgen.ir.converter import (AttrValueConverter,
+                                       GenericTensorConverterMixin)
+from utensor_cgen.utils import topologic_order_graph
+
+from .tflite_flatbuffer.ActivationFunctionType import ActivationFunctionType
+from .tflite_flatbuffer.BuiltinOperator import BuiltinOperator
+from .tflite_flatbuffer.CustomOptionsFormat import CustomOptionsFormat
+from .tflite_flatbuffer.FullyConnectedOptionsWeightsFormat import \
+    FullyConnectedOptionsWeightsFormat
+from .tflite_flatbuffer.Model import Model
+
+_CUSTOM_OPTION_FORMAT_MAP = {v: k for k, v in CustomOptionsFormat.__dict__.items()}
+
+def class_option2str(obj, idx):
+  names_lookup = {v: k for k, v in obj.__dict__.items()}
+  name = names_lookup[idx]
+  return str(idx) + " (" + name + ")"
+
+def fully_connected_op_data(op):
+  option_dict = {}
+  if op.CustomOptionsLength() < 1:
+    from .tflite_flatbuffer.FullyConnectedOptions import FullyConnectedOptions
+
+    option = FullyConnectedOptions()
+    builtin_data = op.BuiltinOptions()
+    option.Init(builtin_data.Bytes, builtin_data.Pos)
+    option_dict["FusedActivationFunction"] = class_option2str(
+      ActivationFunctionType, option.FusedActivationFunction()
+    )
+    option_dict["w_formats"] = class_option2str(
+      FullyConnectedOptionsWeightsFormat, option.WeightsFormat()
+    )
+  else:
+    option_dict[
+      _CUSTOM_OPTION_FORMAT_MAP[op.CustomOptionsFormat()]
+    ] = op.CustomOptionsAsNumpy()
+  return option_dict
+
+def depthwise_conv2d_op_data(op):
+  option_dict = {}
+  if op.CustomOptionsLength() < 1:
+    from .tflite_flatbuffer.DepthwiseConv2DOptions import DepthwiseConv2DOptions
+
+    option = DepthwiseConv2DOptions()
+    builtin_data = op.BuiltinOptions()
+    option.Init(builtin_data.Bytes, builtin_data.Pos)
+    option_dict["Padding"] = option.Padding()
+    option_dict["StrideW"] = option.StrideW()
+    option_dict["StrideH"] = option.StrideH()
+    option_dict["DepthMultiplier"] = option.DepthMultiplier()
+    option_dict["FusedActivationFunction"] = class_option2str(
+      ActivationFunctionType, option.FusedActivationFunction()
+    )
+    option_dict["DilationWFactor"] = option.DilationWFactor()
+    option_dict["DilationHFactor"] = option.DilationHFactor()
+
+  else:
+    option_dict[
+      _CUSTOM_OPTION_FORMAT_MAP[op.CustomOptionsFormat()]
+    ] = op.CustomOptionsAsNumpy()
+
+  return option_dict
+
+def reshape_op_data(op):
+  option_dict = {}
+  if op.CustomOptionsLength() < 1:
+    from .tflite_flatbuffer.ReshapeOptions import ReshapeOptions
+
+    option = ReshapeOptions()
+    builtin_data = op.BuiltinOptions()
+    option.Init(builtin_data.Bytes, builtin_data.Pos)
+    option_dict["NewShape"] = option.NewShapeAsNumpy()
+  else:
+    option_dict[
+      _CUSTOM_OPTION_FORMAT_MAP[op.CustomOptionsFormat()]
+    ] = op.CustomOptionsAsNumpy()
+
+  return option_dict
+
+def dequantize_op_data(op):
+  option_dict = {}
+  if op.CustomOptionsLength() < 1:
+    from .tflite_flatbuffer.DequantizeOptions import DequantizeOptions
+
+    option = DequantizeOptions()
+    builtin_data = op.BuiltinOptions()
+    if builtin_data is None:
+      return option_dict
+    option.Init(builtin_data.Bytes, builtin_data.Pos)
+    option_dict['builtin'] = option
+  else:
+    option_dict[
+      _CUSTOM_OPTION_FORMAT_MAP[op.CustomOptionsFormat()]
+    ] = op.CustomOptionsAsNumpy()
+
+  return option_dict
+
+def quantize_op_data(op):
+  option_dict = {}
+  if op.CustomOptionsLength() < 1:
+    from .tflite_flatbuffer.QuantizeOptions import QuantizeOptions
+
+    option = QuantizeOptions()
+    builtin_data = op.BuiltinOptions()
+    if builtin_data is None:
+      return option_dict
+    option.Init(builtin_data.Bytes, builtin_data.Pos)
+    option_dict['builtin'] = option
+  else:
+    option_dict[
+      _CUSTOM_OPTION_FORMAT_MAP[op.CustomOptionsFormat()]
+    ] = op.CustomOptionsAsNumpy()
+
+  return option_dict
+
+def pool2d_op_data(op):
+  option_dict = {}
+  if op.CustomOptionsLength() < 1:
+    from .tflite_flatbuffer.Pool2DOptions import Pool2DOptions
+
+    option = Pool2DOptions()
+    builtin_data = op.BuiltinOptions()
+    option.Init(builtin_data.Bytes, builtin_data.Pos)
+    option_dict["Padding"] = option.Padding()
+    option_dict["StrideW"] = option.StrideW()
+    option_dict["StrideH"] = option.StrideH()
+    option_dict["FilterWidth"] = option.FilterWidth()
+    option_dict["FilterHeight"] = option.FilterHeight()
+    option_dict["FusedActivationFunction"] = class_option2str(
+      ActivationFunctionType, option.FusedActivationFunction()
+    )
+  else:
+    option_dict[
+      _CUSTOM_OPTION_FORMAT_MAP[op.CustomOptionsFormat()]
+    ] = op.CustomOptionsAsNumpy()
+
+  return option_dict
+
+def argmax_op_data(op):
+  option_dict = {}
+  if op.CustomOptionsLength() < 1:
+    from .tflite_flatbuffer.ArgMaxOptions import ArgMaxOptions
+
+    option = ArgMaxOptions()
+    builtin_data = op.BuiltinOptions()
+    option.Init(builtin_data.Bytes, builtin_data.Pos)
+    option_dict["OutputType"] = option.OutputType()
+  else:
+    option_dict[
+      _CUSTOM_OPTION_FORMAT_MAP[op.CustomOptionsFormat()]
+    ] = op.CustomOptionsAsNumpy()
+
+  return option_dict
+
+
+_OP_DATA_FUNC_MAP = dict()
+_OP_DATA_FUNC_MAP["QUANTIZE"] = quantize_op_data
+_OP_DATA_FUNC_MAP["DEPTHWISE_CONV_2D"] = depthwise_conv2d_op_data
+_OP_DATA_FUNC_MAP["MAX_POOL_2D"] = pool2d_op_data
+_OP_DATA_FUNC_MAP["RESHAPE"] = reshape_op_data
+_OP_DATA_FUNC_MAP["FULLY_CONNECTED"] = fully_connected_op_data
+_OP_DATA_FUNC_MAP["DEQUANTIZE"] = dequantize_op_data
+_OP_DATA_FUNC_MAP["ARG_MAX"] = argmax_op_data
+
+
+@FrontendSelector.register(target_exts=[".tflite"])
+class TFLiteParser(Parser):
+  _TENSOR_NP_TYPE = {
+    0:np.dtype("float32"),
+    1: np.dtype("float16"),
+    2: np.dtype("int32"),
+    3: np.dtype("uint8"),
+    4: np.dtype("uint64"),
+    5: np.dtype("str"),
+    6: np.dtype("bool"),
+    7: np.dtype("int16"),
+    8: np.dtype("cdouble"),
+    9: np.dtype("int8"),
+  }
+  _BUILTIN_OPS = {v: k for k, v in BuiltinOperator.__dict__.items()}
+
+  def parse(self, tflite_file, output_nodes=None):
+    if output_nodes is None:
+      output_nodes = []
+    graph_name, _ = os.path.splitext(tflite_file)
+    with open(tflite_file, "rb") as fid:
+      buf = bytearray(fid.read())
+    fb_model = Model.GetRootAsModel(buf, 0)
+
+    ugraph = uTensorGraph(
+      name=graph_name,
+      output_nodes=output_nodes,
+      lib_name="tflite",
+      ops_info={},
+    )
+    self._build_graph(fb_model, ugraph)
+
+    return ugraph
+
+  def _build_graph(self, fb_model, ugraph):
+    self.tensor_names_map = {}  # addresseed by indexi
+    self._build_tensor_map(fb_model, ugraph)
+
+    self._build_param_ops(fb_model, ugraph)
+    # find and set input nodes
+    self._build_input_ops(fb_model, ugraph)
+    self._build_intermediate_ops(fb_model, ugraph)
+    self._set_output_ops(fb_model, ugraph)
+
+    topologic_order_graph(ugraph)
+
+  def _set_output_ops(self, fb_model, ugraph):
+    """identfy output nodes in fb_mdel
+    sets output_nodes in ugraph
+    Note this method will update ugraph **inplace**
+    """
+    subgraph = self._get_tflm_get_subgraph(fb_model)
+    subgraph_outputs_indexi = subgraph.OutputsAsNumpy()  # tensor indexi
+    output_node_names = set()
+    for index in subgraph_outputs_indexi:
+      output_node_names.add(self.tensor_names_map[index].op_name)
+
+    ugraph.output_nodes = list(output_node_names)
+
+  def _build_tensor_map(self, fb_model, ugraph):
+    subgraph = self._get_tflm_get_subgraph(fb_model)
+
+    for idx in range(0, subgraph.TensorsLength()):
+      tensor = subgraph.Tensors(idx)
+      tensor_name = tensor.Name().decode('utf8')
+      if tensor_name is "" or None:
+        tensor_name = "tensor_" + str(idx)
+
+      dtype = self._TENSOR_NP_TYPE[tensor.Type()]
+      attributes = dict()
+      quantParam = tensor.Quantization()
+      if quantParam is not None:
+        attributes["quantizationZeros"] = list([quantParam.ZeroPointAsNumpy()])
+        attributes["quantizationScales"] = list([quantParam.ScaleAsNumpy()])
+
+      if isinstance(tensor.ShapeAsNumpy(), np.ndarray):
+        shape = tensor.ShapeAsNumpy().tolist()
+      else:
+        shape = list(fb_model.Buffers(12).DataAsNumpy().shape)
+
+      self.tensor_names_map[idx] = TensorInfo(
+        name=self._format_tensor_name("", tensor_name, 0),
+        op_name="",
+        dtype=dtype,
+        shape=shape,
+        attributes=attributes,
+        ugraph=ugraph,
+      )
+
+  def _build_param_ops(self, fb_model, ugraph):
+    """Const tensors are identified by buffer_index == 0. These tensors are converted to Const Op and added to ugraph
+    """
+    subgraph = self._get_tflm_get_subgraph(fb_model)
+
+    for idx in range(0, subgraph.TensorsLength()):
+      tensor = subgraph.Tensors(idx)
+      buffer_index = tensor.Buffer()
+
+      # buffer_index == 0 if intermediate
+      if buffer_index == 0:
+        continue
+
+      node_name = re.sub(r':\d+', '', self.tensor_names_map[idx].name) + "_Const"
+      dtype = self.tensor_names_map[idx].dtype
+
+      buffer_array = fb_model.Buffers(buffer_index).DataAsNumpy()
+      if isinstance(buffer_array, int):
+        continue  # somehow, sometimes, the buffer contains no data, likely to be an intermediate tensor
+      buffer_content = fb_model.Buffers(buffer_index).DataAsNumpy().astype(dtype)
+
+      OperationInfo(
+        name=node_name,
+        input_tensors=[],
+        output_tensors=[self.tensor_names_map[idx]],
+        op_type="Const",
+        lib_name="tflm",
+        ugraph=ugraph,
+        op_attr={
+          "value": AttrValueConverter.GenericType(
+            value_name="tensor",
+            value=GenericTensorConverterMixin.GenericType(
+              np_array=buffer_content
+            ),
+          )
+        },
+      )
+
+      self._set_tensor_node(idx, node_name)
+
+  def _build_input_ops(self, fb_model, ugraph):
+    """Find placeholders
+    Attach placeholders to input tensors
+    Note this method will update inputs **inplace**
+    """
+    subgraph = self._get_tflm_get_subgraph(fb_model)
+    subgraph_inputs_indexi = subgraph.InputsAsNumpy()
+    for index in subgraph_inputs_indexi:
+      node_name = self.tensor_names_map[index].name + "_Placeholder"
+      self._set_tensor_node(index, node_name)
+      OperationInfo(
+        name=node_name,
+        input_tensors=[],
+        output_tensors=[self.tensor_names_map[index]],
+        op_type="Placeholder",
+        ugraph=ugraph,
+        lib_name="tflm",
+        op_attr={},
+      )
+
+  def _build_intermediate_ops(self, fb_model, ugraph):
+    """Build all intermediate nodes
+    """
+    subgraphs_len = fb_model.SubgraphsLength()
+    assert subgraphs_len == 1, "only 1 subgraph is supported"
+    subgraph = fb_model.Subgraphs(0)
+    for i in range(0, subgraph.OperatorsLength()):
+      # topological order, op-index defined by schema
+      # BuiltinOperator: https://github.com/tensorflow/tensorflow/blob/031804922d8f4d18b61e3ad077f9f1b69273ff21/tensorflow/lite/schema/schema_v3.fbs#L71
+      op = subgraph.Operators(i)
+      local_op_code = op.OpcodeIndex()
+      global_op_code = fb_model.OperatorCodes(local_op_code)
+      builtinOperator_code = global_op_code.BuiltinCode()
+      op_type = self._BUILTIN_OPS[builtinOperator_code]
+
+      node_name = str(i) + "_" + op_type
+
+      input_tensor_names = [
+        self.tensor_names_map[input_index] for input_index in op.InputsAsNumpy()
+      ]
+      output_tensor_names = [
+        self.tensor_names_map[output_index]
+        for output_index in op.OutputsAsNumpy()
+      ]
+
+      op_attr = _OP_DATA_FUNC_MAP[op_type](op)
+
+      OperationInfo(
+        name=node_name,
+        input_tensors=input_tensor_names,
+        output_tensors=output_tensor_names,
+        op_type=op_type,
+        ugraph=ugraph,
+        lib_name="tflm",
+        op_attr=op_attr,
+      )
+
+      for tensor_index in op.OutputsAsNumpy():
+        self._set_tensor_node(tensor_index, node_name)
+
+  def _get_tflm_get_subgraph(self, fb_model):
+    subgraphs_len = fb_model.SubgraphsLength()
+    assert subgraphs_len == 1, "only 1 subgraph is supported"
+    subgraph = fb_model.Subgraphs(0)
+
+    return subgraph
+
+  def _set_tensor_node(self, idx, name):
+    assert self.tensor_names_map[idx].op_name == ""
+    self.tensor_names_map[idx].op_name = name
+
+  def _format_node_name(self, node_name, op_type, op_cnt):
+    if node_name == "":
+      node_name = "{}_{}".format(op_type, op_cnt)
+    return re.sub(r"[\.:/]", "_", node_name)
+
+  def _format_tensor_name(self, name, node_name, offset):
+    if re.match(r"[a-zA-Z][a-zA-Z0-9]*:[0-9]+", name):
+      return name
+    return "{}:{}".format(node_name, offset)
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/AbsOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/AbsOptions.py
new file mode 100644
index 00000000..0cbfb8c0
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/AbsOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class AbsOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsAbsOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = AbsOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # AbsOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def AbsOptionsStart(builder): builder.StartObject(0)
+def AbsOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/ActivationFunctionType.py b/utensor_cgen/frontend/tflite_flatbuffer/ActivationFunctionType.py
new file mode 100644
index 00000000..dc177dee
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/ActivationFunctionType.py
@@ -0,0 +1,12 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+class ActivationFunctionType(object):
+    NONE = 0
+    RELU = 1
+    RELU_N1_TO_1 = 2
+    RELU6 = 3
+    TANH = 4
+    SIGN_BIT = 5
+
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/AddNOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/AddNOptions.py
new file mode 100644
index 00000000..b5c2ddb7
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/AddNOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class AddNOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsAddNOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = AddNOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # AddNOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def AddNOptionsStart(builder): builder.StartObject(0)
+def AddNOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/AddOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/AddOptions.py
new file mode 100644
index 00000000..d6cbfcf5
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/AddOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class AddOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsAddOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = AddOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # AddOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # AddOptions
+    def FusedActivationFunction(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def AddOptionsStart(builder): builder.StartObject(1)
+def AddOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(0, fusedActivationFunction, 0)
+def AddOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/ArgMaxOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/ArgMaxOptions.py
new file mode 100644
index 00000000..fbf1415e
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/ArgMaxOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class ArgMaxOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsArgMaxOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = ArgMaxOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # ArgMaxOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # ArgMaxOptions
+    def OutputType(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def ArgMaxOptionsStart(builder): builder.StartObject(1)
+def ArgMaxOptionsAddOutputType(builder, outputType): builder.PrependInt8Slot(0, outputType, 0)
+def ArgMaxOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/ArgMinOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/ArgMinOptions.py
new file mode 100644
index 00000000..120fdca2
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/ArgMinOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class ArgMinOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsArgMinOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = ArgMinOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # ArgMinOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # ArgMinOptions
+    def OutputType(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def ArgMinOptionsStart(builder): builder.StartObject(1)
+def ArgMinOptionsAddOutputType(builder, outputType): builder.PrependInt8Slot(0, outputType, 0)
+def ArgMinOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/BatchToSpaceNDOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/BatchToSpaceNDOptions.py
new file mode 100644
index 00000000..3ddcfd3f
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/BatchToSpaceNDOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class BatchToSpaceNDOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsBatchToSpaceNDOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = BatchToSpaceNDOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # BatchToSpaceNDOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def BatchToSpaceNDOptionsStart(builder): builder.StartObject(0)
+def BatchToSpaceNDOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/BidirectionalSequenceLSTMOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/BidirectionalSequenceLSTMOptions.py
new file mode 100644
index 00000000..8d8b7bea
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/BidirectionalSequenceLSTMOptions.py
@@ -0,0 +1,62 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class BidirectionalSequenceLSTMOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsBidirectionalSequenceLSTMOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = BidirectionalSequenceLSTMOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # BidirectionalSequenceLSTMOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # BidirectionalSequenceLSTMOptions
+    def FusedActivationFunction(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+    # BidirectionalSequenceLSTMOptions
+    def CellClip(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
+        return 0.0
+
+    # BidirectionalSequenceLSTMOptions
+    def ProjClip(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
+        return 0.0
+
+    # BidirectionalSequenceLSTMOptions
+    def MergeOutputs(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
+        return False
+
+    # BidirectionalSequenceLSTMOptions
+    def TimeMajor(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
+        return True
+
+def BidirectionalSequenceLSTMOptionsStart(builder): builder.StartObject(5)
+def BidirectionalSequenceLSTMOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(0, fusedActivationFunction, 0)
+def BidirectionalSequenceLSTMOptionsAddCellClip(builder, cellClip): builder.PrependFloat32Slot(1, cellClip, 0.0)
+def BidirectionalSequenceLSTMOptionsAddProjClip(builder, projClip): builder.PrependFloat32Slot(2, projClip, 0.0)
+def BidirectionalSequenceLSTMOptionsAddMergeOutputs(builder, mergeOutputs): builder.PrependBoolSlot(3, mergeOutputs, 0)
+def BidirectionalSequenceLSTMOptionsAddTimeMajor(builder, timeMajor): builder.PrependBoolSlot(4, timeMajor, 1)
+def BidirectionalSequenceLSTMOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/BidirectionalSequenceRNNOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/BidirectionalSequenceRNNOptions.py
new file mode 100644
index 00000000..673af6b9
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/BidirectionalSequenceRNNOptions.py
@@ -0,0 +1,46 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class BidirectionalSequenceRNNOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsBidirectionalSequenceRNNOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = BidirectionalSequenceRNNOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # BidirectionalSequenceRNNOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # BidirectionalSequenceRNNOptions
+    def TimeMajor(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
+        return False
+
+    # BidirectionalSequenceRNNOptions
+    def FusedActivationFunction(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+    # BidirectionalSequenceRNNOptions
+    def MergeOutputs(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
+        return False
+
+def BidirectionalSequenceRNNOptionsStart(builder): builder.StartObject(3)
+def BidirectionalSequenceRNNOptionsAddTimeMajor(builder, timeMajor): builder.PrependBoolSlot(0, timeMajor, 0)
+def BidirectionalSequenceRNNOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(1, fusedActivationFunction, 0)
+def BidirectionalSequenceRNNOptionsAddMergeOutputs(builder, mergeOutputs): builder.PrependBoolSlot(2, mergeOutputs, 0)
+def BidirectionalSequenceRNNOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/Buffer.py b/utensor_cgen/frontend/tflite_flatbuffer/Buffer.py
new file mode 100644
index 00000000..754dee3b
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/Buffer.py
@@ -0,0 +1,46 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class Buffer(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsBuffer(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = Buffer()
+        x.Init(buf, n + offset)
+        return x
+
+    # Buffer
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # Buffer
+    def Data(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.Uint8Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 1))
+        return 0
+
+    # Buffer
+    def DataAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Uint8Flags, o)
+        return 0
+
+    # Buffer
+    def DataLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+def BufferStart(builder): builder.StartObject(1)
+def BufferAddData(builder, data): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(data), 0)
+def BufferStartDataVector(builder, numElems): return builder.StartVector(1, numElems, 1)
+def BufferEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/BuiltinOperator.py b/utensor_cgen/frontend/tflite_flatbuffer/BuiltinOperator.py
new file mode 100644
index 00000000..229e1270
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/BuiltinOperator.py
@@ -0,0 +1,121 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+class BuiltinOperator(object):
+    ADD = 0
+    AVERAGE_POOL_2D = 1
+    CONCATENATION = 2
+    CONV_2D = 3
+    DEPTHWISE_CONV_2D = 4
+    DEQUANTIZE = 6
+    EMBEDDING_LOOKUP = 7
+    FLOOR = 8
+    FULLY_CONNECTED = 9
+    HASHTABLE_LOOKUP = 10
+    L2_NORMALIZATION = 11
+    L2_POOL_2D = 12
+    LOCAL_RESPONSE_NORMALIZATION = 13
+    LOGISTIC = 14
+    LSH_PROJECTION = 15
+    LSTM = 16
+    MAX_POOL_2D = 17
+    MUL = 18
+    RELU = 19
+    RELU_N1_TO_1 = 20
+    RELU6 = 21
+    RESHAPE = 22
+    RESIZE_BILINEAR = 23
+    RNN = 24
+    SOFTMAX = 25
+    SPACE_TO_DEPTH = 26
+    SVDF = 27
+    TANH = 28
+    CONCAT_EMBEDDINGS = 29
+    SKIP_GRAM = 30
+    CALL = 31
+    CUSTOM = 32
+    EMBEDDING_LOOKUP_SPARSE = 33
+    PAD = 34
+    UNIDIRECTIONAL_SEQUENCE_RNN = 35
+    GATHER = 36
+    BATCH_TO_SPACE_ND = 37
+    SPACE_TO_BATCH_ND = 38
+    TRANSPOSE = 39
+    MEAN = 40
+    SUB = 41
+    DIV = 42
+    SQUEEZE = 43
+    UNIDIRECTIONAL_SEQUENCE_LSTM = 44
+    STRIDED_SLICE = 45
+    BIDIRECTIONAL_SEQUENCE_RNN = 46
+    EXP = 47
+    TOPK_V2 = 48
+    SPLIT = 49
+    LOG_SOFTMAX = 50
+    DELEGATE = 51
+    BIDIRECTIONAL_SEQUENCE_LSTM = 52
+    CAST = 53
+    PRELU = 54
+    MAXIMUM = 55
+    ARG_MAX = 56
+    MINIMUM = 57
+    LESS = 58
+    NEG = 59
+    PADV2 = 60
+    GREATER = 61
+    GREATER_EQUAL = 62
+    LESS_EQUAL = 63
+    SELECT = 64
+    SLICE = 65
+    SIN = 66
+    TRANSPOSE_CONV = 67
+    SPARSE_TO_DENSE = 68
+    TILE = 69
+    EXPAND_DIMS = 70
+    EQUAL = 71
+    NOT_EQUAL = 72
+    LOG = 73
+    SUM = 74
+    SQRT = 75
+    RSQRT = 76
+    SHAPE = 77
+    POW = 78
+    ARG_MIN = 79
+    FAKE_QUANT = 80
+    REDUCE_PROD = 81
+    REDUCE_MAX = 82
+    PACK = 83
+    LOGICAL_OR = 84
+    ONE_HOT = 85
+    LOGICAL_AND = 86
+    LOGICAL_NOT = 87
+    UNPACK = 88
+    REDUCE_MIN = 89
+    FLOOR_DIV = 90
+    REDUCE_ANY = 91
+    SQUARE = 92
+    ZEROS_LIKE = 93
+    FILL = 94
+    FLOOR_MOD = 95
+    RANGE = 96
+    RESIZE_NEAREST_NEIGHBOR = 97
+    LEAKY_RELU = 98
+    SQUARED_DIFFERENCE = 99
+    MIRROR_PAD = 100
+    ABS = 101
+    SPLIT_V = 102
+    UNIQUE = 103
+    CEIL = 104
+    REVERSE_V2 = 105
+    ADD_N = 106
+    GATHER_ND = 107
+    COS = 108
+    WHERE = 109
+    RANK = 110
+    ELU = 111
+    REVERSE_SEQUENCE = 112
+    MATRIX_DIAG = 113
+    QUANTIZE = 114
+    MATRIX_SET_DIAG = 115
+
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/BuiltinOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/BuiltinOptions.py
new file mode 100644
index 00000000..9830f648
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/BuiltinOptions.py
@@ -0,0 +1,97 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+class BuiltinOptions(object):
+    NONE = 0
+    Conv2DOptions = 1
+    DepthwiseConv2DOptions = 2
+    ConcatEmbeddingsOptions = 3
+    LSHProjectionOptions = 4
+    Pool2DOptions = 5
+    SVDFOptions = 6
+    RNNOptions = 7
+    FullyConnectedOptions = 8
+    SoftmaxOptions = 9
+    ConcatenationOptions = 10
+    AddOptions = 11
+    L2NormOptions = 12
+    LocalResponseNormalizationOptions = 13
+    LSTMOptions = 14
+    ResizeBilinearOptions = 15
+    CallOptions = 16
+    ReshapeOptions = 17
+    SkipGramOptions = 18
+    SpaceToDepthOptions = 19
+    EmbeddingLookupSparseOptions = 20
+    MulOptions = 21
+    PadOptions = 22
+    GatherOptions = 23
+    BatchToSpaceNDOptions = 24
+    SpaceToBatchNDOptions = 25
+    TransposeOptions = 26
+    ReducerOptions = 27
+    SubOptions = 28
+    DivOptions = 29
+    SqueezeOptions = 30
+    SequenceRNNOptions = 31
+    StridedSliceOptions = 32
+    ExpOptions = 33
+    TopKV2Options = 34
+    SplitOptions = 35
+    LogSoftmaxOptions = 36
+    CastOptions = 37
+    DequantizeOptions = 38
+    MaximumMinimumOptions = 39
+    ArgMaxOptions = 40
+    LessOptions = 41
+    NegOptions = 42
+    PadV2Options = 43
+    GreaterOptions = 44
+    GreaterEqualOptions = 45
+    LessEqualOptions = 46
+    SelectOptions = 47
+    SliceOptions = 48
+    TransposeConvOptions = 49
+    SparseToDenseOptions = 50
+    TileOptions = 51
+    ExpandDimsOptions = 52
+    EqualOptions = 53
+    NotEqualOptions = 54
+    ShapeOptions = 55
+    PowOptions = 56
+    ArgMinOptions = 57
+    FakeQuantOptions = 58
+    PackOptions = 59
+    LogicalOrOptions = 60
+    OneHotOptions = 61
+    LogicalAndOptions = 62
+    LogicalNotOptions = 63
+    UnpackOptions = 64
+    FloorDivOptions = 65
+    SquareOptions = 66
+    ZerosLikeOptions = 67
+    FillOptions = 68
+    BidirectionalSequenceLSTMOptions = 69
+    BidirectionalSequenceRNNOptions = 70
+    UnidirectionalSequenceLSTMOptions = 71
+    FloorModOptions = 72
+    RangeOptions = 73
+    ResizeNearestNeighborOptions = 74
+    LeakyReluOptions = 75
+    SquaredDifferenceOptions = 76
+    MirrorPadOptions = 77
+    AbsOptions = 78
+    SplitVOptions = 79
+    UniqueOptions = 80
+    ReverseV2Options = 81
+    AddNOptions = 82
+    GatherNdOptions = 83
+    CosOptions = 84
+    WhereOptions = 85
+    RankOptions = 86
+    ReverseSequenceOptions = 87
+    MatrixDiagOptions = 88
+    QuantizeOptions = 89
+    MatrixSetDiagOptions = 90
+
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/CallOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/CallOptions.py
new file mode 100644
index 00000000..5ae2eeae
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/CallOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class CallOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsCallOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = CallOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # CallOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # CallOptions
+    def Subgraph(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Uint32Flags, o + self._tab.Pos)
+        return 0
+
+def CallOptionsStart(builder): builder.StartObject(1)
+def CallOptionsAddSubgraph(builder, subgraph): builder.PrependUint32Slot(0, subgraph, 0)
+def CallOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/CastOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/CastOptions.py
new file mode 100644
index 00000000..70ae2e37
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/CastOptions.py
@@ -0,0 +1,38 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class CastOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsCastOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = CastOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # CastOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # CastOptions
+    def InDataType(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+    # CastOptions
+    def OutDataType(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def CastOptionsStart(builder): builder.StartObject(2)
+def CastOptionsAddInDataType(builder, inDataType): builder.PrependInt8Slot(0, inDataType, 0)
+def CastOptionsAddOutDataType(builder, outDataType): builder.PrependInt8Slot(1, outDataType, 0)
+def CastOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/CombinerType.py b/utensor_cgen/frontend/tflite_flatbuffer/CombinerType.py
new file mode 100644
index 00000000..17d91510
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/CombinerType.py
@@ -0,0 +1,9 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+class CombinerType(object):
+    SUM = 0
+    MEAN = 1
+    SQRTN = 2
+
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/ConcatEmbeddingsOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/ConcatEmbeddingsOptions.py
new file mode 100644
index 00000000..9d26c510
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/ConcatEmbeddingsOptions.py
@@ -0,0 +1,78 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class ConcatEmbeddingsOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsConcatEmbeddingsOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = ConcatEmbeddingsOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # ConcatEmbeddingsOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # ConcatEmbeddingsOptions
+    def NumChannels(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # ConcatEmbeddingsOptions
+    def NumColumnsPerChannel(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
+        return 0
+
+    # ConcatEmbeddingsOptions
+    def NumColumnsPerChannelAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
+        return 0
+
+    # ConcatEmbeddingsOptions
+    def NumColumnsPerChannelLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # ConcatEmbeddingsOptions
+    def EmbeddingDimPerChannel(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
+        return 0
+
+    # ConcatEmbeddingsOptions
+    def EmbeddingDimPerChannelAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
+        return 0
+
+    # ConcatEmbeddingsOptions
+    def EmbeddingDimPerChannelLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+def ConcatEmbeddingsOptionsStart(builder): builder.StartObject(3)
+def ConcatEmbeddingsOptionsAddNumChannels(builder, numChannels): builder.PrependInt32Slot(0, numChannels, 0)
+def ConcatEmbeddingsOptionsAddNumColumnsPerChannel(builder, numColumnsPerChannel): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(numColumnsPerChannel), 0)
+def ConcatEmbeddingsOptionsStartNumColumnsPerChannelVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def ConcatEmbeddingsOptionsAddEmbeddingDimPerChannel(builder, embeddingDimPerChannel): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(embeddingDimPerChannel), 0)
+def ConcatEmbeddingsOptionsStartEmbeddingDimPerChannelVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def ConcatEmbeddingsOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/ConcatenationOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/ConcatenationOptions.py
new file mode 100644
index 00000000..c8e0b6ab
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/ConcatenationOptions.py
@@ -0,0 +1,38 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class ConcatenationOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsConcatenationOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = ConcatenationOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # ConcatenationOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # ConcatenationOptions
+    def Axis(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # ConcatenationOptions
+    def FusedActivationFunction(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def ConcatenationOptionsStart(builder): builder.StartObject(2)
+def ConcatenationOptionsAddAxis(builder, axis): builder.PrependInt32Slot(0, axis, 0)
+def ConcatenationOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(1, fusedActivationFunction, 0)
+def ConcatenationOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/Conv2DOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/Conv2DOptions.py
new file mode 100644
index 00000000..ef49f751
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/Conv2DOptions.py
@@ -0,0 +1,70 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class Conv2DOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsConv2DOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = Conv2DOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # Conv2DOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # Conv2DOptions
+    def Padding(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+    # Conv2DOptions
+    def StrideW(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # Conv2DOptions
+    def StrideH(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # Conv2DOptions
+    def FusedActivationFunction(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+    # Conv2DOptions
+    def DilationWFactor(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 1
+
+    # Conv2DOptions
+    def DilationHFactor(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 1
+
+def Conv2DOptionsStart(builder): builder.StartObject(6)
+def Conv2DOptionsAddPadding(builder, padding): builder.PrependInt8Slot(0, padding, 0)
+def Conv2DOptionsAddStrideW(builder, strideW): builder.PrependInt32Slot(1, strideW, 0)
+def Conv2DOptionsAddStrideH(builder, strideH): builder.PrependInt32Slot(2, strideH, 0)
+def Conv2DOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(3, fusedActivationFunction, 0)
+def Conv2DOptionsAddDilationWFactor(builder, dilationWFactor): builder.PrependInt32Slot(4, dilationWFactor, 1)
+def Conv2DOptionsAddDilationHFactor(builder, dilationHFactor): builder.PrependInt32Slot(5, dilationHFactor, 1)
+def Conv2DOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/CosOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/CosOptions.py
new file mode 100644
index 00000000..7fbf8487
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/CosOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class CosOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsCosOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = CosOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # CosOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def CosOptionsStart(builder): builder.StartObject(0)
+def CosOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/CustomOptionsFormat.py b/utensor_cgen/frontend/tflite_flatbuffer/CustomOptionsFormat.py
new file mode 100644
index 00000000..bef384cf
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/CustomOptionsFormat.py
@@ -0,0 +1,7 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+class CustomOptionsFormat(object):
+    FLEXBUFFERS = 0
+
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/CustomQuantization.py b/utensor_cgen/frontend/tflite_flatbuffer/CustomQuantization.py
new file mode 100644
index 00000000..21ec0da4
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/CustomQuantization.py
@@ -0,0 +1,46 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class CustomQuantization(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsCustomQuantization(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = CustomQuantization()
+        x.Init(buf, n + offset)
+        return x
+
+    # CustomQuantization
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # CustomQuantization
+    def Custom(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.Uint8Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 1))
+        return 0
+
+    # CustomQuantization
+    def CustomAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Uint8Flags, o)
+        return 0
+
+    # CustomQuantization
+    def CustomLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+def CustomQuantizationStart(builder): builder.StartObject(1)
+def CustomQuantizationAddCustom(builder, custom): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(custom), 0)
+def CustomQuantizationStartCustomVector(builder, numElems): return builder.StartVector(1, numElems, 1)
+def CustomQuantizationEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/DepthwiseConv2DOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/DepthwiseConv2DOptions.py
new file mode 100644
index 00000000..9689383b
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/DepthwiseConv2DOptions.py
@@ -0,0 +1,78 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class DepthwiseConv2DOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsDepthwiseConv2DOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = DepthwiseConv2DOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # DepthwiseConv2DOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # DepthwiseConv2DOptions
+    def Padding(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+    # DepthwiseConv2DOptions
+    def StrideW(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # DepthwiseConv2DOptions
+    def StrideH(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # DepthwiseConv2DOptions
+    def DepthMultiplier(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # DepthwiseConv2DOptions
+    def FusedActivationFunction(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+    # DepthwiseConv2DOptions
+    def DilationWFactor(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 1
+
+    # DepthwiseConv2DOptions
+    def DilationHFactor(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(16))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 1
+
+def DepthwiseConv2DOptionsStart(builder): builder.StartObject(7)
+def DepthwiseConv2DOptionsAddPadding(builder, padding): builder.PrependInt8Slot(0, padding, 0)
+def DepthwiseConv2DOptionsAddStrideW(builder, strideW): builder.PrependInt32Slot(1, strideW, 0)
+def DepthwiseConv2DOptionsAddStrideH(builder, strideH): builder.PrependInt32Slot(2, strideH, 0)
+def DepthwiseConv2DOptionsAddDepthMultiplier(builder, depthMultiplier): builder.PrependInt32Slot(3, depthMultiplier, 0)
+def DepthwiseConv2DOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(4, fusedActivationFunction, 0)
+def DepthwiseConv2DOptionsAddDilationWFactor(builder, dilationWFactor): builder.PrependInt32Slot(5, dilationWFactor, 1)
+def DepthwiseConv2DOptionsAddDilationHFactor(builder, dilationHFactor): builder.PrependInt32Slot(6, dilationHFactor, 1)
+def DepthwiseConv2DOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/DequantizeOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/DequantizeOptions.py
new file mode 100644
index 00000000..5ef8b8dd
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/DequantizeOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class DequantizeOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsDequantizeOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = DequantizeOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # DequantizeOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def DequantizeOptionsStart(builder): builder.StartObject(0)
+def DequantizeOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/DivOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/DivOptions.py
new file mode 100644
index 00000000..905a3be0
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/DivOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class DivOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsDivOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = DivOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # DivOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # DivOptions
+    def FusedActivationFunction(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def DivOptionsStart(builder): builder.StartObject(1)
+def DivOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(0, fusedActivationFunction, 0)
+def DivOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/EmbeddingLookupSparseOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/EmbeddingLookupSparseOptions.py
new file mode 100644
index 00000000..7d9c1442
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/EmbeddingLookupSparseOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class EmbeddingLookupSparseOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsEmbeddingLookupSparseOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = EmbeddingLookupSparseOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # EmbeddingLookupSparseOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # EmbeddingLookupSparseOptions
+    def Combiner(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def EmbeddingLookupSparseOptionsStart(builder): builder.StartObject(1)
+def EmbeddingLookupSparseOptionsAddCombiner(builder, combiner): builder.PrependInt8Slot(0, combiner, 0)
+def EmbeddingLookupSparseOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/EqualOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/EqualOptions.py
new file mode 100644
index 00000000..f787ef85
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/EqualOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class EqualOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsEqualOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = EqualOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # EqualOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def EqualOptionsStart(builder): builder.StartObject(0)
+def EqualOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/ExpOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/ExpOptions.py
new file mode 100644
index 00000000..eac1456e
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/ExpOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class ExpOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsExpOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = ExpOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # ExpOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def ExpOptionsStart(builder): builder.StartObject(0)
+def ExpOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/ExpandDimsOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/ExpandDimsOptions.py
new file mode 100644
index 00000000..69d63665
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/ExpandDimsOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class ExpandDimsOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsExpandDimsOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = ExpandDimsOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # ExpandDimsOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def ExpandDimsOptionsStart(builder): builder.StartObject(0)
+def ExpandDimsOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/FakeQuantOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/FakeQuantOptions.py
new file mode 100644
index 00000000..46c371c3
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/FakeQuantOptions.py
@@ -0,0 +1,54 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class FakeQuantOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsFakeQuantOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = FakeQuantOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # FakeQuantOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # FakeQuantOptions
+    def Min(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
+        return 0.0
+
+    # FakeQuantOptions
+    def Max(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
+        return 0.0
+
+    # FakeQuantOptions
+    def NumBits(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # FakeQuantOptions
+    def NarrowRange(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
+        return False
+
+def FakeQuantOptionsStart(builder): builder.StartObject(4)
+def FakeQuantOptionsAddMin(builder, min): builder.PrependFloat32Slot(0, min, 0.0)
+def FakeQuantOptionsAddMax(builder, max): builder.PrependFloat32Slot(1, max, 0.0)
+def FakeQuantOptionsAddNumBits(builder, numBits): builder.PrependInt32Slot(2, numBits, 0)
+def FakeQuantOptionsAddNarrowRange(builder, narrowRange): builder.PrependBoolSlot(3, narrowRange, 0)
+def FakeQuantOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/FillOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/FillOptions.py
new file mode 100644
index 00000000..5a1e651a
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/FillOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class FillOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsFillOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = FillOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # FillOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def FillOptionsStart(builder): builder.StartObject(0)
+def FillOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/FloorDivOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/FloorDivOptions.py
new file mode 100644
index 00000000..64b474fb
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/FloorDivOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class FloorDivOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsFloorDivOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = FloorDivOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # FloorDivOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def FloorDivOptionsStart(builder): builder.StartObject(0)
+def FloorDivOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/FloorModOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/FloorModOptions.py
new file mode 100644
index 00000000..37c8e5a5
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/FloorModOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class FloorModOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsFloorModOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = FloorModOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # FloorModOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def FloorModOptionsStart(builder): builder.StartObject(0)
+def FloorModOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/FullyConnectedOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/FullyConnectedOptions.py
new file mode 100644
index 00000000..fb7ebc28
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/FullyConnectedOptions.py
@@ -0,0 +1,38 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class FullyConnectedOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsFullyConnectedOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = FullyConnectedOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # FullyConnectedOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # FullyConnectedOptions
+    def FusedActivationFunction(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+    # FullyConnectedOptions
+    def WeightsFormat(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def FullyConnectedOptionsStart(builder): builder.StartObject(2)
+def FullyConnectedOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(0, fusedActivationFunction, 0)
+def FullyConnectedOptionsAddWeightsFormat(builder, weightsFormat): builder.PrependInt8Slot(1, weightsFormat, 0)
+def FullyConnectedOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/FullyConnectedOptionsWeightsFormat.py b/utensor_cgen/frontend/tflite_flatbuffer/FullyConnectedOptionsWeightsFormat.py
new file mode 100644
index 00000000..6d81eca1
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/FullyConnectedOptionsWeightsFormat.py
@@ -0,0 +1,8 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+class FullyConnectedOptionsWeightsFormat(object):
+    DEFAULT = 0
+    SHUFFLED4x16INT8 = 1
+
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/GatherNdOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/GatherNdOptions.py
new file mode 100644
index 00000000..f515eb5c
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/GatherNdOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class GatherNdOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsGatherNdOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = GatherNdOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # GatherNdOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def GatherNdOptionsStart(builder): builder.StartObject(0)
+def GatherNdOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/GatherOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/GatherOptions.py
new file mode 100644
index 00000000..9fbc3e40
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/GatherOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class GatherOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsGatherOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = GatherOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # GatherOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # GatherOptions
+    def Axis(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+def GatherOptionsStart(builder): builder.StartObject(1)
+def GatherOptionsAddAxis(builder, axis): builder.PrependInt32Slot(0, axis, 0)
+def GatherOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/GreaterEqualOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/GreaterEqualOptions.py
new file mode 100644
index 00000000..a29e200a
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/GreaterEqualOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class GreaterEqualOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsGreaterEqualOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = GreaterEqualOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # GreaterEqualOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def GreaterEqualOptionsStart(builder): builder.StartObject(0)
+def GreaterEqualOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/GreaterOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/GreaterOptions.py
new file mode 100644
index 00000000..59d63501
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/GreaterOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class GreaterOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsGreaterOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = GreaterOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # GreaterOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def GreaterOptionsStart(builder): builder.StartObject(0)
+def GreaterOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/L2NormOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/L2NormOptions.py
new file mode 100644
index 00000000..38bdf573
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/L2NormOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class L2NormOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsL2NormOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = L2NormOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # L2NormOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # L2NormOptions
+    def FusedActivationFunction(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def L2NormOptionsStart(builder): builder.StartObject(1)
+def L2NormOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(0, fusedActivationFunction, 0)
+def L2NormOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/LSHProjectionOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/LSHProjectionOptions.py
new file mode 100644
index 00000000..ad550be2
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/LSHProjectionOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class LSHProjectionOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsLSHProjectionOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = LSHProjectionOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # LSHProjectionOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # LSHProjectionOptions
+    def Type(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def LSHProjectionOptionsStart(builder): builder.StartObject(1)
+def LSHProjectionOptionsAddType(builder, type): builder.PrependInt8Slot(0, type, 0)
+def LSHProjectionOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/LSHProjectionType.py b/utensor_cgen/frontend/tflite_flatbuffer/LSHProjectionType.py
new file mode 100644
index 00000000..d6a136e8
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/LSHProjectionType.py
@@ -0,0 +1,9 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+class LSHProjectionType(object):
+    UNKNOWN = 0
+    SPARSE = 1
+    DENSE = 2
+
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/LSTMKernelType.py b/utensor_cgen/frontend/tflite_flatbuffer/LSTMKernelType.py
new file mode 100644
index 00000000..1ca4df0a
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/LSTMKernelType.py
@@ -0,0 +1,8 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+class LSTMKernelType(object):
+    FULL = 0
+    BASIC = 1
+
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/LSTMOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/LSTMOptions.py
new file mode 100644
index 00000000..93a83093
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/LSTMOptions.py
@@ -0,0 +1,54 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class LSTMOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsLSTMOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = LSTMOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # LSTMOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # LSTMOptions
+    def FusedActivationFunction(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+    # LSTMOptions
+    def CellClip(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
+        return 0.0
+
+    # LSTMOptions
+    def ProjClip(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
+        return 0.0
+
+    # LSTMOptions
+    def KernelType(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def LSTMOptionsStart(builder): builder.StartObject(4)
+def LSTMOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(0, fusedActivationFunction, 0)
+def LSTMOptionsAddCellClip(builder, cellClip): builder.PrependFloat32Slot(1, cellClip, 0.0)
+def LSTMOptionsAddProjClip(builder, projClip): builder.PrependFloat32Slot(2, projClip, 0.0)
+def LSTMOptionsAddKernelType(builder, kernelType): builder.PrependInt8Slot(3, kernelType, 0)
+def LSTMOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/LeakyReluOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/LeakyReluOptions.py
new file mode 100644
index 00000000..b61b21d5
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/LeakyReluOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class LeakyReluOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsLeakyReluOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = LeakyReluOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # LeakyReluOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # LeakyReluOptions
+    def Alpha(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
+        return 0.0
+
+def LeakyReluOptionsStart(builder): builder.StartObject(1)
+def LeakyReluOptionsAddAlpha(builder, alpha): builder.PrependFloat32Slot(0, alpha, 0.0)
+def LeakyReluOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/LessEqualOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/LessEqualOptions.py
new file mode 100644
index 00000000..d49b7289
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/LessEqualOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class LessEqualOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsLessEqualOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = LessEqualOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # LessEqualOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def LessEqualOptionsStart(builder): builder.StartObject(0)
+def LessEqualOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/LessOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/LessOptions.py
new file mode 100644
index 00000000..469cb0b0
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/LessOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class LessOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsLessOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = LessOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # LessOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def LessOptionsStart(builder): builder.StartObject(0)
+def LessOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/LocalResponseNormalizationOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/LocalResponseNormalizationOptions.py
new file mode 100644
index 00000000..db875603
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/LocalResponseNormalizationOptions.py
@@ -0,0 +1,54 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class LocalResponseNormalizationOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsLocalResponseNormalizationOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = LocalResponseNormalizationOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # LocalResponseNormalizationOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # LocalResponseNormalizationOptions
+    def Radius(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # LocalResponseNormalizationOptions
+    def Bias(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
+        return 0.0
+
+    # LocalResponseNormalizationOptions
+    def Alpha(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
+        return 0.0
+
+    # LocalResponseNormalizationOptions
+    def Beta(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
+        return 0.0
+
+def LocalResponseNormalizationOptionsStart(builder): builder.StartObject(4)
+def LocalResponseNormalizationOptionsAddRadius(builder, radius): builder.PrependInt32Slot(0, radius, 0)
+def LocalResponseNormalizationOptionsAddBias(builder, bias): builder.PrependFloat32Slot(1, bias, 0.0)
+def LocalResponseNormalizationOptionsAddAlpha(builder, alpha): builder.PrependFloat32Slot(2, alpha, 0.0)
+def LocalResponseNormalizationOptionsAddBeta(builder, beta): builder.PrependFloat32Slot(3, beta, 0.0)
+def LocalResponseNormalizationOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/LogSoftmaxOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/LogSoftmaxOptions.py
new file mode 100644
index 00000000..47893855
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/LogSoftmaxOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class LogSoftmaxOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsLogSoftmaxOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = LogSoftmaxOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # LogSoftmaxOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def LogSoftmaxOptionsStart(builder): builder.StartObject(0)
+def LogSoftmaxOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/LogicalAndOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/LogicalAndOptions.py
new file mode 100644
index 00000000..cee1cdb4
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/LogicalAndOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class LogicalAndOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsLogicalAndOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = LogicalAndOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # LogicalAndOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def LogicalAndOptionsStart(builder): builder.StartObject(0)
+def LogicalAndOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/LogicalNotOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/LogicalNotOptions.py
new file mode 100644
index 00000000..9971450c
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/LogicalNotOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class LogicalNotOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsLogicalNotOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = LogicalNotOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # LogicalNotOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def LogicalNotOptionsStart(builder): builder.StartObject(0)
+def LogicalNotOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/LogicalOrOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/LogicalOrOptions.py
new file mode 100644
index 00000000..e94a5dec
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/LogicalOrOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class LogicalOrOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsLogicalOrOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = LogicalOrOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # LogicalOrOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def LogicalOrOptionsStart(builder): builder.StartObject(0)
+def LogicalOrOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/MatrixDiagOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/MatrixDiagOptions.py
new file mode 100644
index 00000000..0f64e657
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/MatrixDiagOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class MatrixDiagOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsMatrixDiagOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = MatrixDiagOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # MatrixDiagOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def MatrixDiagOptionsStart(builder): builder.StartObject(0)
+def MatrixDiagOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/MatrixSetDiagOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/MatrixSetDiagOptions.py
new file mode 100644
index 00000000..14178cf8
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/MatrixSetDiagOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class MatrixSetDiagOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsMatrixSetDiagOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = MatrixSetDiagOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # MatrixSetDiagOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def MatrixSetDiagOptionsStart(builder): builder.StartObject(0)
+def MatrixSetDiagOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/MaximumMinimumOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/MaximumMinimumOptions.py
new file mode 100644
index 00000000..f0806e2d
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/MaximumMinimumOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class MaximumMinimumOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsMaximumMinimumOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = MaximumMinimumOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # MaximumMinimumOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def MaximumMinimumOptionsStart(builder): builder.StartObject(0)
+def MaximumMinimumOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/MirrorPadMode.py b/utensor_cgen/frontend/tflite_flatbuffer/MirrorPadMode.py
new file mode 100644
index 00000000..ce7579d2
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/MirrorPadMode.py
@@ -0,0 +1,8 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+class MirrorPadMode(object):
+    REFLECT = 0
+    SYMMETRIC = 1
+
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/MirrorPadOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/MirrorPadOptions.py
new file mode 100644
index 00000000..254ae217
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/MirrorPadOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class MirrorPadOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsMirrorPadOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = MirrorPadOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # MirrorPadOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # MirrorPadOptions
+    def Mode(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def MirrorPadOptionsStart(builder): builder.StartObject(1)
+def MirrorPadOptionsAddMode(builder, mode): builder.PrependInt8Slot(0, mode, 0)
+def MirrorPadOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/Model.py b/utensor_cgen/frontend/tflite_flatbuffer/Model.py
new file mode 100644
index 00000000..aab841ab
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/Model.py
@@ -0,0 +1,128 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class Model(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsModel(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = Model()
+        x.Init(buf, n + offset)
+        return x
+
+    # Model
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # Model
+    def Version(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Uint32Flags, o + self._tab.Pos)
+        return 0
+
+    # Model
+    def OperatorCodes(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            x = self._tab.Vector(o)
+            x += flatbuffers.number_types.UOffsetTFlags.py_type(j) * 4
+            x = self._tab.Indirect(x)
+            from .OperatorCode import OperatorCode
+            obj = OperatorCode()
+            obj.Init(self._tab.Bytes, x)
+            return obj
+        return None
+
+    # Model
+    def OperatorCodesLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # Model
+    def Subgraphs(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            x = self._tab.Vector(o)
+            x += flatbuffers.number_types.UOffsetTFlags.py_type(j) * 4
+            x = self._tab.Indirect(x)
+            from .SubGraph import SubGraph
+            obj = SubGraph()
+            obj.Init(self._tab.Bytes, x)
+            return obj
+        return None
+
+    # Model
+    def SubgraphsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # Model
+    def Description(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return self._tab.String(o + self._tab.Pos)
+        return None
+
+    # Model
+    def Buffers(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            x = self._tab.Vector(o)
+            x += flatbuffers.number_types.UOffsetTFlags.py_type(j) * 4
+            x = self._tab.Indirect(x)
+            from .Buffer import Buffer
+            obj = Buffer()
+            obj.Init(self._tab.Bytes, x)
+            return obj
+        return None
+
+    # Model
+    def BuffersLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # Model
+    def MetadataBuffer(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
+        return 0
+
+    # Model
+    def MetadataBufferAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
+        return 0
+
+    # Model
+    def MetadataBufferLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+def ModelStart(builder): builder.StartObject(6)
+def ModelAddVersion(builder, version): builder.PrependUint32Slot(0, version, 0)
+def ModelAddOperatorCodes(builder, operatorCodes): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(operatorCodes), 0)
+def ModelStartOperatorCodesVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def ModelAddSubgraphs(builder, subgraphs): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(subgraphs), 0)
+def ModelStartSubgraphsVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def ModelAddDescription(builder, description): builder.PrependUOffsetTRelativeSlot(3, flatbuffers.number_types.UOffsetTFlags.py_type(description), 0)
+def ModelAddBuffers(builder, buffers): builder.PrependUOffsetTRelativeSlot(4, flatbuffers.number_types.UOffsetTFlags.py_type(buffers), 0)
+def ModelStartBuffersVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def ModelAddMetadataBuffer(builder, metadataBuffer): builder.PrependUOffsetTRelativeSlot(5, flatbuffers.number_types.UOffsetTFlags.py_type(metadataBuffer), 0)
+def ModelStartMetadataBufferVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def ModelEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/MulOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/MulOptions.py
new file mode 100644
index 00000000..55b9506f
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/MulOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class MulOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsMulOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = MulOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # MulOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # MulOptions
+    def FusedActivationFunction(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def MulOptionsStart(builder): builder.StartObject(1)
+def MulOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(0, fusedActivationFunction, 0)
+def MulOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/NegOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/NegOptions.py
new file mode 100644
index 00000000..05d55c26
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/NegOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class NegOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsNegOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = NegOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # NegOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def NegOptionsStart(builder): builder.StartObject(0)
+def NegOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/NotEqualOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/NotEqualOptions.py
new file mode 100644
index 00000000..4c511e93
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/NotEqualOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class NotEqualOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsNotEqualOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = NotEqualOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # NotEqualOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def NotEqualOptionsStart(builder): builder.StartObject(0)
+def NotEqualOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/OneHotOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/OneHotOptions.py
new file mode 100644
index 00000000..793a3e75
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/OneHotOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class OneHotOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsOneHotOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = OneHotOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # OneHotOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # OneHotOptions
+    def Axis(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+def OneHotOptionsStart(builder): builder.StartObject(1)
+def OneHotOptionsAddAxis(builder, axis): builder.PrependInt32Slot(0, axis, 0)
+def OneHotOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/Operator.py b/utensor_cgen/frontend/tflite_flatbuffer/Operator.py
new file mode 100644
index 00000000..fd237845
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/Operator.py
@@ -0,0 +1,153 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class Operator(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsOperator(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = Operator()
+        x.Init(buf, n + offset)
+        return x
+
+    # Operator
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # Operator
+    def OpcodeIndex(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Uint32Flags, o + self._tab.Pos)
+        return 0
+
+    # Operator
+    def Inputs(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
+        return 0
+
+    # Operator
+    def InputsAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
+        return 0
+
+    # Operator
+    def InputsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # Operator
+    def Outputs(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
+        return 0
+
+    # Operator
+    def OutputsAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
+        return 0
+
+    # Operator
+    def OutputsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # Operator
+    def BuiltinOptionsType(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Uint8Flags, o + self._tab.Pos)
+        return 0
+
+    # Operator
+    def BuiltinOptions(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            from flatbuffers.table import Table
+            obj = Table(bytearray(), 0)
+            self._tab.Union(obj, o)
+            return obj
+        return None
+
+    # Operator
+    def CustomOptions(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.Uint8Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 1))
+        return 0
+
+    # Operator
+    def CustomOptionsAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Uint8Flags, o)
+        return 0
+
+    # Operator
+    def CustomOptionsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # Operator
+    def CustomOptionsFormat(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(16))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+    # Operator
+    def MutatingVariableInputs(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.BoolFlags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 1))
+        return 0
+
+    # Operator
+    def MutatingVariableInputsAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.BoolFlags, o)
+        return 0
+
+    # Operator
+    def MutatingVariableInputsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(18))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+def OperatorStart(builder): builder.StartObject(8)
+def OperatorAddOpcodeIndex(builder, opcodeIndex): builder.PrependUint32Slot(0, opcodeIndex, 0)
+def OperatorAddInputs(builder, inputs): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(inputs), 0)
+def OperatorStartInputsVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def OperatorAddOutputs(builder, outputs): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(outputs), 0)
+def OperatorStartOutputsVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def OperatorAddBuiltinOptionsType(builder, builtinOptionsType): builder.PrependUint8Slot(3, builtinOptionsType, 0)
+def OperatorAddBuiltinOptions(builder, builtinOptions): builder.PrependUOffsetTRelativeSlot(4, flatbuffers.number_types.UOffsetTFlags.py_type(builtinOptions), 0)
+def OperatorAddCustomOptions(builder, customOptions): builder.PrependUOffsetTRelativeSlot(5, flatbuffers.number_types.UOffsetTFlags.py_type(customOptions), 0)
+def OperatorStartCustomOptionsVector(builder, numElems): return builder.StartVector(1, numElems, 1)
+def OperatorAddCustomOptionsFormat(builder, customOptionsFormat): builder.PrependInt8Slot(6, customOptionsFormat, 0)
+def OperatorAddMutatingVariableInputs(builder, mutatingVariableInputs): builder.PrependUOffsetTRelativeSlot(7, flatbuffers.number_types.UOffsetTFlags.py_type(mutatingVariableInputs), 0)
+def OperatorStartMutatingVariableInputsVector(builder, numElems): return builder.StartVector(1, numElems, 1)
+def OperatorEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/OperatorCode.py b/utensor_cgen/frontend/tflite_flatbuffer/OperatorCode.py
new file mode 100644
index 00000000..dd525f53
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/OperatorCode.py
@@ -0,0 +1,46 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class OperatorCode(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsOperatorCode(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = OperatorCode()
+        x.Init(buf, n + offset)
+        return x
+
+    # OperatorCode
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # OperatorCode
+    def BuiltinCode(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+    # OperatorCode
+    def CustomCode(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.String(o + self._tab.Pos)
+        return None
+
+    # OperatorCode
+    def Version(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 1
+
+def OperatorCodeStart(builder): builder.StartObject(3)
+def OperatorCodeAddBuiltinCode(builder, builtinCode): builder.PrependInt8Slot(0, builtinCode, 0)
+def OperatorCodeAddCustomCode(builder, customCode): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(customCode), 0)
+def OperatorCodeAddVersion(builder, version): builder.PrependInt32Slot(2, version, 1)
+def OperatorCodeEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/PackOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/PackOptions.py
new file mode 100644
index 00000000..6a8ee2bb
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/PackOptions.py
@@ -0,0 +1,38 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class PackOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsPackOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = PackOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # PackOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # PackOptions
+    def ValuesCount(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # PackOptions
+    def Axis(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+def PackOptionsStart(builder): builder.StartObject(2)
+def PackOptionsAddValuesCount(builder, valuesCount): builder.PrependInt32Slot(0, valuesCount, 0)
+def PackOptionsAddAxis(builder, axis): builder.PrependInt32Slot(1, axis, 0)
+def PackOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/PadOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/PadOptions.py
new file mode 100644
index 00000000..d0833c68
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/PadOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class PadOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsPadOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = PadOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # PadOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def PadOptionsStart(builder): builder.StartObject(0)
+def PadOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/PadV2Options.py b/utensor_cgen/frontend/tflite_flatbuffer/PadV2Options.py
new file mode 100644
index 00000000..5ea0d70c
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/PadV2Options.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class PadV2Options(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsPadV2Options(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = PadV2Options()
+        x.Init(buf, n + offset)
+        return x
+
+    # PadV2Options
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def PadV2OptionsStart(builder): builder.StartObject(0)
+def PadV2OptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/Padding.py b/utensor_cgen/frontend/tflite_flatbuffer/Padding.py
new file mode 100644
index 00000000..6027f4b5
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/Padding.py
@@ -0,0 +1,8 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+class Padding(object):
+    SAME = 0
+    VALID = 1
+
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/Pool2DOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/Pool2DOptions.py
new file mode 100644
index 00000000..b8b9f178
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/Pool2DOptions.py
@@ -0,0 +1,70 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class Pool2DOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsPool2DOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = Pool2DOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # Pool2DOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # Pool2DOptions
+    def Padding(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+    # Pool2DOptions
+    def StrideW(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # Pool2DOptions
+    def StrideH(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # Pool2DOptions
+    def FilterWidth(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # Pool2DOptions
+    def FilterHeight(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # Pool2DOptions
+    def FusedActivationFunction(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def Pool2DOptionsStart(builder): builder.StartObject(6)
+def Pool2DOptionsAddPadding(builder, padding): builder.PrependInt8Slot(0, padding, 0)
+def Pool2DOptionsAddStrideW(builder, strideW): builder.PrependInt32Slot(1, strideW, 0)
+def Pool2DOptionsAddStrideH(builder, strideH): builder.PrependInt32Slot(2, strideH, 0)
+def Pool2DOptionsAddFilterWidth(builder, filterWidth): builder.PrependInt32Slot(3, filterWidth, 0)
+def Pool2DOptionsAddFilterHeight(builder, filterHeight): builder.PrependInt32Slot(4, filterHeight, 0)
+def Pool2DOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(5, fusedActivationFunction, 0)
+def Pool2DOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/PowOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/PowOptions.py
new file mode 100644
index 00000000..666ca488
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/PowOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class PowOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsPowOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = PowOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # PowOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def PowOptionsStart(builder): builder.StartObject(0)
+def PowOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/QuantizationDetails.py b/utensor_cgen/frontend/tflite_flatbuffer/QuantizationDetails.py
new file mode 100644
index 00000000..7159efbd
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/QuantizationDetails.py
@@ -0,0 +1,8 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+class QuantizationDetails(object):
+    NONE = 0
+    CustomQuantization = 1
+
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/QuantizationParameters.py b/utensor_cgen/frontend/tflite_flatbuffer/QuantizationParameters.py
new file mode 100644
index 00000000..fcd686cf
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/QuantizationParameters.py
@@ -0,0 +1,145 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class QuantizationParameters(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsQuantizationParameters(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = QuantizationParameters()
+        x.Init(buf, n + offset)
+        return x
+
+    # QuantizationParameters
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # QuantizationParameters
+    def Min(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.Float32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
+        return 0
+
+    # QuantizationParameters
+    def MinAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Float32Flags, o)
+        return 0
+
+    # QuantizationParameters
+    def MinLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # QuantizationParameters
+    def Max(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.Float32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
+        return 0
+
+    # QuantizationParameters
+    def MaxAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Float32Flags, o)
+        return 0
+
+    # QuantizationParameters
+    def MaxLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # QuantizationParameters
+    def Scale(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.Float32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
+        return 0
+
+    # QuantizationParameters
+    def ScaleAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Float32Flags, o)
+        return 0
+
+    # QuantizationParameters
+    def ScaleLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # QuantizationParameters
+    def ZeroPoint(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.Int64Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 8))
+        return 0
+
+    # QuantizationParameters
+    def ZeroPointAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int64Flags, o)
+        return 0
+
+    # QuantizationParameters
+    def ZeroPointLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # QuantizationParameters
+    def DetailsType(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Uint8Flags, o + self._tab.Pos)
+        return 0
+
+    # QuantizationParameters
+    def Details(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
+        if o != 0:
+            from flatbuffers.table import Table
+            obj = Table(bytearray(), 0)
+            self._tab.Union(obj, o)
+            return obj
+        return None
+
+    # QuantizationParameters
+    def QuantizedDimension(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(16))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+def QuantizationParametersStart(builder): builder.StartObject(7)
+def QuantizationParametersAddMin(builder, min): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(min), 0)
+def QuantizationParametersStartMinVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def QuantizationParametersAddMax(builder, max): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(max), 0)
+def QuantizationParametersStartMaxVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def QuantizationParametersAddScale(builder, scale): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(scale), 0)
+def QuantizationParametersStartScaleVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def QuantizationParametersAddZeroPoint(builder, zeroPoint): builder.PrependUOffsetTRelativeSlot(3, flatbuffers.number_types.UOffsetTFlags.py_type(zeroPoint), 0)
+def QuantizationParametersStartZeroPointVector(builder, numElems): return builder.StartVector(8, numElems, 8)
+def QuantizationParametersAddDetailsType(builder, detailsType): builder.PrependUint8Slot(4, detailsType, 0)
+def QuantizationParametersAddDetails(builder, details): builder.PrependUOffsetTRelativeSlot(5, flatbuffers.number_types.UOffsetTFlags.py_type(details), 0)
+def QuantizationParametersAddQuantizedDimension(builder, quantizedDimension): builder.PrependInt32Slot(6, quantizedDimension, 0)
+def QuantizationParametersEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/QuantizeOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/QuantizeOptions.py
new file mode 100644
index 00000000..28af8cc9
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/QuantizeOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class QuantizeOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsQuantizeOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = QuantizeOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # QuantizeOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def QuantizeOptionsStart(builder): builder.StartObject(0)
+def QuantizeOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/RNNOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/RNNOptions.py
new file mode 100644
index 00000000..3cfdb6af
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/RNNOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class RNNOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsRNNOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = RNNOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # RNNOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # RNNOptions
+    def FusedActivationFunction(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def RNNOptionsStart(builder): builder.StartObject(1)
+def RNNOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(0, fusedActivationFunction, 0)
+def RNNOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/RangeOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/RangeOptions.py
new file mode 100644
index 00000000..cb705b57
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/RangeOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class RangeOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsRangeOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = RangeOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # RangeOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def RangeOptionsStart(builder): builder.StartObject(0)
+def RangeOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/RankOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/RankOptions.py
new file mode 100644
index 00000000..4e4a5ecd
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/RankOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class RankOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsRankOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = RankOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # RankOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def RankOptionsStart(builder): builder.StartObject(0)
+def RankOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/ReducerOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/ReducerOptions.py
new file mode 100644
index 00000000..93bbde17
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/ReducerOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class ReducerOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsReducerOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = ReducerOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # ReducerOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # ReducerOptions
+    def KeepDims(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
+        return False
+
+def ReducerOptionsStart(builder): builder.StartObject(1)
+def ReducerOptionsAddKeepDims(builder, keepDims): builder.PrependBoolSlot(0, keepDims, 0)
+def ReducerOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/ReshapeOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/ReshapeOptions.py
new file mode 100644
index 00000000..157d45d9
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/ReshapeOptions.py
@@ -0,0 +1,46 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class ReshapeOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsReshapeOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = ReshapeOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # ReshapeOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # ReshapeOptions
+    def NewShape(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
+        return 0
+
+    # ReshapeOptions
+    def NewShapeAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
+        return 0
+
+    # ReshapeOptions
+    def NewShapeLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+def ReshapeOptionsStart(builder): builder.StartObject(1)
+def ReshapeOptionsAddNewShape(builder, newShape): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(newShape), 0)
+def ReshapeOptionsStartNewShapeVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def ReshapeOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/ResizeBilinearOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/ResizeBilinearOptions.py
new file mode 100644
index 00000000..0d1f9624
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/ResizeBilinearOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class ResizeBilinearOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsResizeBilinearOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = ResizeBilinearOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # ResizeBilinearOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # ResizeBilinearOptions
+    def AlignCorners(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
+        return False
+
+def ResizeBilinearOptionsStart(builder): builder.StartObject(3)
+def ResizeBilinearOptionsAddAlignCorners(builder, alignCorners): builder.PrependBoolSlot(2, alignCorners, 0)
+def ResizeBilinearOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/ResizeNearestNeighborOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/ResizeNearestNeighborOptions.py
new file mode 100644
index 00000000..4b166e95
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/ResizeNearestNeighborOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class ResizeNearestNeighborOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsResizeNearestNeighborOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = ResizeNearestNeighborOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # ResizeNearestNeighborOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # ResizeNearestNeighborOptions
+    def AlignCorners(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
+        return False
+
+def ResizeNearestNeighborOptionsStart(builder): builder.StartObject(1)
+def ResizeNearestNeighborOptionsAddAlignCorners(builder, alignCorners): builder.PrependBoolSlot(0, alignCorners, 0)
+def ResizeNearestNeighborOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/ReverseSequenceOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/ReverseSequenceOptions.py
new file mode 100644
index 00000000..cbaf96db
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/ReverseSequenceOptions.py
@@ -0,0 +1,38 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class ReverseSequenceOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsReverseSequenceOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = ReverseSequenceOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # ReverseSequenceOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # ReverseSequenceOptions
+    def SeqDim(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # ReverseSequenceOptions
+    def BatchDim(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+def ReverseSequenceOptionsStart(builder): builder.StartObject(2)
+def ReverseSequenceOptionsAddSeqDim(builder, seqDim): builder.PrependInt32Slot(0, seqDim, 0)
+def ReverseSequenceOptionsAddBatchDim(builder, batchDim): builder.PrependInt32Slot(1, batchDim, 0)
+def ReverseSequenceOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/ReverseV2Options.py b/utensor_cgen/frontend/tflite_flatbuffer/ReverseV2Options.py
new file mode 100644
index 00000000..dbac9362
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/ReverseV2Options.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class ReverseV2Options(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsReverseV2Options(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = ReverseV2Options()
+        x.Init(buf, n + offset)
+        return x
+
+    # ReverseV2Options
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def ReverseV2OptionsStart(builder): builder.StartObject(0)
+def ReverseV2OptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/SVDFOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/SVDFOptions.py
new file mode 100644
index 00000000..6f391db1
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/SVDFOptions.py
@@ -0,0 +1,38 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class SVDFOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsSVDFOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = SVDFOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # SVDFOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # SVDFOptions
+    def Rank(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # SVDFOptions
+    def FusedActivationFunction(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def SVDFOptionsStart(builder): builder.StartObject(2)
+def SVDFOptionsAddRank(builder, rank): builder.PrependInt32Slot(0, rank, 0)
+def SVDFOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(1, fusedActivationFunction, 0)
+def SVDFOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/SelectOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/SelectOptions.py
new file mode 100644
index 00000000..d67daf36
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/SelectOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class SelectOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsSelectOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = SelectOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # SelectOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def SelectOptionsStart(builder): builder.StartObject(0)
+def SelectOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/SequenceRNNOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/SequenceRNNOptions.py
new file mode 100644
index 00000000..74a4954a
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/SequenceRNNOptions.py
@@ -0,0 +1,38 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class SequenceRNNOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsSequenceRNNOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = SequenceRNNOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # SequenceRNNOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # SequenceRNNOptions
+    def TimeMajor(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
+        return False
+
+    # SequenceRNNOptions
+    def FusedActivationFunction(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def SequenceRNNOptionsStart(builder): builder.StartObject(2)
+def SequenceRNNOptionsAddTimeMajor(builder, timeMajor): builder.PrependBoolSlot(0, timeMajor, 0)
+def SequenceRNNOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(1, fusedActivationFunction, 0)
+def SequenceRNNOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/ShapeOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/ShapeOptions.py
new file mode 100644
index 00000000..2d24c05f
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/ShapeOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class ShapeOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsShapeOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = ShapeOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # ShapeOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # ShapeOptions
+    def OutType(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def ShapeOptionsStart(builder): builder.StartObject(1)
+def ShapeOptionsAddOutType(builder, outType): builder.PrependInt8Slot(0, outType, 0)
+def ShapeOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/SkipGramOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/SkipGramOptions.py
new file mode 100644
index 00000000..0e8bdc1d
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/SkipGramOptions.py
@@ -0,0 +1,46 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class SkipGramOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsSkipGramOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = SkipGramOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # SkipGramOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # SkipGramOptions
+    def NgramSize(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # SkipGramOptions
+    def MaxSkipSize(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # SkipGramOptions
+    def IncludeAllNgrams(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
+        return False
+
+def SkipGramOptionsStart(builder): builder.StartObject(3)
+def SkipGramOptionsAddNgramSize(builder, ngramSize): builder.PrependInt32Slot(0, ngramSize, 0)
+def SkipGramOptionsAddMaxSkipSize(builder, maxSkipSize): builder.PrependInt32Slot(1, maxSkipSize, 0)
+def SkipGramOptionsAddIncludeAllNgrams(builder, includeAllNgrams): builder.PrependBoolSlot(2, includeAllNgrams, 0)
+def SkipGramOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/SliceOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/SliceOptions.py
new file mode 100644
index 00000000..4b41568d
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/SliceOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class SliceOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsSliceOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = SliceOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # SliceOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def SliceOptionsStart(builder): builder.StartObject(0)
+def SliceOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/SoftmaxOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/SoftmaxOptions.py
new file mode 100644
index 00000000..a7168534
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/SoftmaxOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class SoftmaxOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsSoftmaxOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = SoftmaxOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # SoftmaxOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # SoftmaxOptions
+    def Beta(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
+        return 0.0
+
+def SoftmaxOptionsStart(builder): builder.StartObject(1)
+def SoftmaxOptionsAddBeta(builder, beta): builder.PrependFloat32Slot(0, beta, 0.0)
+def SoftmaxOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/SpaceToBatchNDOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/SpaceToBatchNDOptions.py
new file mode 100644
index 00000000..b61ef96f
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/SpaceToBatchNDOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class SpaceToBatchNDOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsSpaceToBatchNDOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = SpaceToBatchNDOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # SpaceToBatchNDOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def SpaceToBatchNDOptionsStart(builder): builder.StartObject(0)
+def SpaceToBatchNDOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/SpaceToDepthOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/SpaceToDepthOptions.py
new file mode 100644
index 00000000..d571174a
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/SpaceToDepthOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class SpaceToDepthOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsSpaceToDepthOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = SpaceToDepthOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # SpaceToDepthOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # SpaceToDepthOptions
+    def BlockSize(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+def SpaceToDepthOptionsStart(builder): builder.StartObject(1)
+def SpaceToDepthOptionsAddBlockSize(builder, blockSize): builder.PrependInt32Slot(0, blockSize, 0)
+def SpaceToDepthOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/SparseToDenseOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/SparseToDenseOptions.py
new file mode 100644
index 00000000..826eee08
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/SparseToDenseOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class SparseToDenseOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsSparseToDenseOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = SparseToDenseOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # SparseToDenseOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # SparseToDenseOptions
+    def ValidateIndices(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
+        return False
+
+def SparseToDenseOptionsStart(builder): builder.StartObject(1)
+def SparseToDenseOptionsAddValidateIndices(builder, validateIndices): builder.PrependBoolSlot(0, validateIndices, 0)
+def SparseToDenseOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/SplitOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/SplitOptions.py
new file mode 100644
index 00000000..3207525b
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/SplitOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class SplitOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsSplitOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = SplitOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # SplitOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # SplitOptions
+    def NumSplits(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+def SplitOptionsStart(builder): builder.StartObject(1)
+def SplitOptionsAddNumSplits(builder, numSplits): builder.PrependInt32Slot(0, numSplits, 0)
+def SplitOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/SplitVOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/SplitVOptions.py
new file mode 100644
index 00000000..418959de
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/SplitVOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class SplitVOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsSplitVOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = SplitVOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # SplitVOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # SplitVOptions
+    def NumSplits(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+def SplitVOptionsStart(builder): builder.StartObject(1)
+def SplitVOptionsAddNumSplits(builder, numSplits): builder.PrependInt32Slot(0, numSplits, 0)
+def SplitVOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/SquareOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/SquareOptions.py
new file mode 100644
index 00000000..56633f6a
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/SquareOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class SquareOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsSquareOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = SquareOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # SquareOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def SquareOptionsStart(builder): builder.StartObject(0)
+def SquareOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/SquaredDifferenceOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/SquaredDifferenceOptions.py
new file mode 100644
index 00000000..906855d1
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/SquaredDifferenceOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class SquaredDifferenceOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsSquaredDifferenceOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = SquaredDifferenceOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # SquaredDifferenceOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def SquaredDifferenceOptionsStart(builder): builder.StartObject(0)
+def SquaredDifferenceOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/SqueezeOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/SqueezeOptions.py
new file mode 100644
index 00000000..25b294dc
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/SqueezeOptions.py
@@ -0,0 +1,46 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class SqueezeOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsSqueezeOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = SqueezeOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # SqueezeOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # SqueezeOptions
+    def SqueezeDims(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
+        return 0
+
+    # SqueezeOptions
+    def SqueezeDimsAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
+        return 0
+
+    # SqueezeOptions
+    def SqueezeDimsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+def SqueezeOptionsStart(builder): builder.StartObject(1)
+def SqueezeOptionsAddSqueezeDims(builder, squeezeDims): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(squeezeDims), 0)
+def SqueezeOptionsStartSqueezeDimsVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def SqueezeOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/StridedSliceOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/StridedSliceOptions.py
new file mode 100644
index 00000000..3bbb36b8
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/StridedSliceOptions.py
@@ -0,0 +1,62 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class StridedSliceOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsStridedSliceOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = StridedSliceOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # StridedSliceOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # StridedSliceOptions
+    def BeginMask(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # StridedSliceOptions
+    def EndMask(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # StridedSliceOptions
+    def EllipsisMask(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # StridedSliceOptions
+    def NewAxisMask(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # StridedSliceOptions
+    def ShrinkAxisMask(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+def StridedSliceOptionsStart(builder): builder.StartObject(5)
+def StridedSliceOptionsAddBeginMask(builder, beginMask): builder.PrependInt32Slot(0, beginMask, 0)
+def StridedSliceOptionsAddEndMask(builder, endMask): builder.PrependInt32Slot(1, endMask, 0)
+def StridedSliceOptionsAddEllipsisMask(builder, ellipsisMask): builder.PrependInt32Slot(2, ellipsisMask, 0)
+def StridedSliceOptionsAddNewAxisMask(builder, newAxisMask): builder.PrependInt32Slot(3, newAxisMask, 0)
+def StridedSliceOptionsAddShrinkAxisMask(builder, shrinkAxisMask): builder.PrependInt32Slot(4, shrinkAxisMask, 0)
+def StridedSliceOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/SubGraph.py b/utensor_cgen/frontend/tflite_flatbuffer/SubGraph.py
new file mode 100644
index 00000000..eaa42fac
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/SubGraph.py
@@ -0,0 +1,122 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class SubGraph(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsSubGraph(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = SubGraph()
+        x.Init(buf, n + offset)
+        return x
+
+    # SubGraph
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # SubGraph
+    def Tensors(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            x = self._tab.Vector(o)
+            x += flatbuffers.number_types.UOffsetTFlags.py_type(j) * 4
+            x = self._tab.Indirect(x)
+            from .Tensor import Tensor
+            obj = Tensor()
+            obj.Init(self._tab.Bytes, x)
+            return obj
+        return None
+
+    # SubGraph
+    def TensorsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # SubGraph
+    def Inputs(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
+        return 0
+
+    # SubGraph
+    def InputsAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
+        return 0
+
+    # SubGraph
+    def InputsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # SubGraph
+    def Outputs(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
+        return 0
+
+    # SubGraph
+    def OutputsAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
+        return 0
+
+    # SubGraph
+    def OutputsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # SubGraph
+    def Operators(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            x = self._tab.Vector(o)
+            x += flatbuffers.number_types.UOffsetTFlags.py_type(j) * 4
+            x = self._tab.Indirect(x)
+            from .Operator import Operator
+            obj = Operator()
+            obj.Init(self._tab.Bytes, x)
+            return obj
+        return None
+
+    # SubGraph
+    def OperatorsLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # SubGraph
+    def Name(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            return self._tab.String(o + self._tab.Pos)
+        return None
+
+def SubGraphStart(builder): builder.StartObject(5)
+def SubGraphAddTensors(builder, tensors): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(tensors), 0)
+def SubGraphStartTensorsVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def SubGraphAddInputs(builder, inputs): builder.PrependUOffsetTRelativeSlot(1, flatbuffers.number_types.UOffsetTFlags.py_type(inputs), 0)
+def SubGraphStartInputsVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def SubGraphAddOutputs(builder, outputs): builder.PrependUOffsetTRelativeSlot(2, flatbuffers.number_types.UOffsetTFlags.py_type(outputs), 0)
+def SubGraphStartOutputsVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def SubGraphAddOperators(builder, operators): builder.PrependUOffsetTRelativeSlot(3, flatbuffers.number_types.UOffsetTFlags.py_type(operators), 0)
+def SubGraphStartOperatorsVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def SubGraphAddName(builder, name): builder.PrependUOffsetTRelativeSlot(4, flatbuffers.number_types.UOffsetTFlags.py_type(name), 0)
+def SubGraphEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/SubOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/SubOptions.py
new file mode 100644
index 00000000..eccd7aba
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/SubOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class SubOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsSubOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = SubOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # SubOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # SubOptions
+    def FusedActivationFunction(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+def SubOptionsStart(builder): builder.StartObject(1)
+def SubOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(0, fusedActivationFunction, 0)
+def SubOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/Tensor.py b/utensor_cgen/frontend/tflite_flatbuffer/Tensor.py
new file mode 100644
index 00000000..9b5b8f87
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/Tensor.py
@@ -0,0 +1,90 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class Tensor(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsTensor(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = Tensor()
+        x.Init(buf, n + offset)
+        return x
+
+    # Tensor
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # Tensor
+    def Shape(self, j):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            a = self._tab.Vector(o)
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, a + flatbuffers.number_types.UOffsetTFlags.py_type(j * 4))
+        return 0
+
+    # Tensor
+    def ShapeAsNumpy(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.GetVectorAsNumpy(flatbuffers.number_types.Int32Flags, o)
+        return 0
+
+    # Tensor
+    def ShapeLength(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.VectorLen(o)
+        return 0
+
+    # Tensor
+    def Type(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+    # Tensor
+    def Buffer(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Uint32Flags, o + self._tab.Pos)
+        return 0
+
+    # Tensor
+    def Name(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return self._tab.String(o + self._tab.Pos)
+        return None
+
+    # Tensor
+    def Quantization(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(12))
+        if o != 0:
+            x = self._tab.Indirect(o + self._tab.Pos)
+            from .QuantizationParameters import QuantizationParameters
+            obj = QuantizationParameters()
+            obj.Init(self._tab.Bytes, x)
+            return obj
+        return None
+
+    # Tensor
+    def IsVariable(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(14))
+        if o != 0:
+            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
+        return False
+
+def TensorStart(builder): builder.StartObject(6)
+def TensorAddShape(builder, shape): builder.PrependUOffsetTRelativeSlot(0, flatbuffers.number_types.UOffsetTFlags.py_type(shape), 0)
+def TensorStartShapeVector(builder, numElems): return builder.StartVector(4, numElems, 4)
+def TensorAddType(builder, type): builder.PrependInt8Slot(1, type, 0)
+def TensorAddBuffer(builder, buffer): builder.PrependUint32Slot(2, buffer, 0)
+def TensorAddName(builder, name): builder.PrependUOffsetTRelativeSlot(3, flatbuffers.number_types.UOffsetTFlags.py_type(name), 0)
+def TensorAddQuantization(builder, quantization): builder.PrependUOffsetTRelativeSlot(4, flatbuffers.number_types.UOffsetTFlags.py_type(quantization), 0)
+def TensorAddIsVariable(builder, isVariable): builder.PrependBoolSlot(5, isVariable, 0)
+def TensorEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/TensorType.py b/utensor_cgen/frontend/tflite_flatbuffer/TensorType.py
new file mode 100644
index 00000000..2455835a
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/TensorType.py
@@ -0,0 +1,16 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+class TensorType(object):
+    FLOAT32 = 0
+    FLOAT16 = 1
+    INT32 = 2
+    UINT8 = 3
+    INT64 = 4
+    STRING = 5
+    BOOL = 6
+    INT16 = 7
+    COMPLEX64 = 8
+    INT8 = 9
+
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/TileOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/TileOptions.py
new file mode 100644
index 00000000..ec8396dc
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/TileOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class TileOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsTileOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = TileOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # TileOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def TileOptionsStart(builder): builder.StartObject(0)
+def TileOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/TopKV2Options.py b/utensor_cgen/frontend/tflite_flatbuffer/TopKV2Options.py
new file mode 100644
index 00000000..ccd51033
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/TopKV2Options.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class TopKV2Options(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsTopKV2Options(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = TopKV2Options()
+        x.Init(buf, n + offset)
+        return x
+
+    # TopKV2Options
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def TopKV2OptionsStart(builder): builder.StartObject(0)
+def TopKV2OptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/TransposeConvOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/TransposeConvOptions.py
new file mode 100644
index 00000000..423571c8
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/TransposeConvOptions.py
@@ -0,0 +1,46 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class TransposeConvOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsTransposeConvOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = TransposeConvOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # TransposeConvOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # TransposeConvOptions
+    def Padding(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+    # TransposeConvOptions
+    def StrideW(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # TransposeConvOptions
+    def StrideH(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+def TransposeConvOptionsStart(builder): builder.StartObject(3)
+def TransposeConvOptionsAddPadding(builder, padding): builder.PrependInt8Slot(0, padding, 0)
+def TransposeConvOptionsAddStrideW(builder, strideW): builder.PrependInt32Slot(1, strideW, 0)
+def TransposeConvOptionsAddStrideH(builder, strideH): builder.PrependInt32Slot(2, strideH, 0)
+def TransposeConvOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/TransposeOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/TransposeOptions.py
new file mode 100644
index 00000000..42c596d9
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/TransposeOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class TransposeOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsTransposeOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = TransposeOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # TransposeOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def TransposeOptionsStart(builder): builder.StartObject(0)
+def TransposeOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/UnidirectionalSequenceLSTMOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/UnidirectionalSequenceLSTMOptions.py
new file mode 100644
index 00000000..1b0c112c
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/UnidirectionalSequenceLSTMOptions.py
@@ -0,0 +1,54 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class UnidirectionalSequenceLSTMOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsUnidirectionalSequenceLSTMOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = UnidirectionalSequenceLSTMOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # UnidirectionalSequenceLSTMOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # UnidirectionalSequenceLSTMOptions
+    def FusedActivationFunction(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 0
+
+    # UnidirectionalSequenceLSTMOptions
+    def CellClip(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
+        return 0.0
+
+    # UnidirectionalSequenceLSTMOptions
+    def ProjClip(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(8))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Float32Flags, o + self._tab.Pos)
+        return 0.0
+
+    # UnidirectionalSequenceLSTMOptions
+    def TimeMajor(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(10))
+        if o != 0:
+            return bool(self._tab.Get(flatbuffers.number_types.BoolFlags, o + self._tab.Pos))
+        return False
+
+def UnidirectionalSequenceLSTMOptionsStart(builder): builder.StartObject(4)
+def UnidirectionalSequenceLSTMOptionsAddFusedActivationFunction(builder, fusedActivationFunction): builder.PrependInt8Slot(0, fusedActivationFunction, 0)
+def UnidirectionalSequenceLSTMOptionsAddCellClip(builder, cellClip): builder.PrependFloat32Slot(1, cellClip, 0.0)
+def UnidirectionalSequenceLSTMOptionsAddProjClip(builder, projClip): builder.PrependFloat32Slot(2, projClip, 0.0)
+def UnidirectionalSequenceLSTMOptionsAddTimeMajor(builder, timeMajor): builder.PrependBoolSlot(3, timeMajor, 0)
+def UnidirectionalSequenceLSTMOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/UniqueOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/UniqueOptions.py
new file mode 100644
index 00000000..841c6977
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/UniqueOptions.py
@@ -0,0 +1,30 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class UniqueOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsUniqueOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = UniqueOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # UniqueOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # UniqueOptions
+    def IdxOutType(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int8Flags, o + self._tab.Pos)
+        return 2
+
+def UniqueOptionsStart(builder): builder.StartObject(1)
+def UniqueOptionsAddIdxOutType(builder, idxOutType): builder.PrependInt8Slot(0, idxOutType, 2)
+def UniqueOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/UnpackOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/UnpackOptions.py
new file mode 100644
index 00000000..eed40193
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/UnpackOptions.py
@@ -0,0 +1,38 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class UnpackOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsUnpackOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = UnpackOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # UnpackOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+    # UnpackOptions
+    def Num(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(4))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+    # UnpackOptions
+    def Axis(self):
+        o = flatbuffers.number_types.UOffsetTFlags.py_type(self._tab.Offset(6))
+        if o != 0:
+            return self._tab.Get(flatbuffers.number_types.Int32Flags, o + self._tab.Pos)
+        return 0
+
+def UnpackOptionsStart(builder): builder.StartObject(2)
+def UnpackOptionsAddNum(builder, num): builder.PrependInt32Slot(0, num, 0)
+def UnpackOptionsAddAxis(builder, axis): builder.PrependInt32Slot(1, axis, 0)
+def UnpackOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/WhereOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/WhereOptions.py
new file mode 100644
index 00000000..ab69f6aa
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/WhereOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class WhereOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsWhereOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = WhereOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # WhereOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def WhereOptionsStart(builder): builder.StartObject(0)
+def WhereOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/ZerosLikeOptions.py b/utensor_cgen/frontend/tflite_flatbuffer/ZerosLikeOptions.py
new file mode 100644
index 00000000..e6aa9639
--- /dev/null
+++ b/utensor_cgen/frontend/tflite_flatbuffer/ZerosLikeOptions.py
@@ -0,0 +1,22 @@
+# automatically generated by the FlatBuffers compiler, do not modify
+
+# namespace: tflite
+
+import flatbuffers
+
+class ZerosLikeOptions(object):
+    __slots__ = ['_tab']
+
+    @classmethod
+    def GetRootAsZerosLikeOptions(cls, buf, offset):
+        n = flatbuffers.encode.Get(flatbuffers.packer.uoffset, buf, offset)
+        x = ZerosLikeOptions()
+        x.Init(buf, n + offset)
+        return x
+
+    # ZerosLikeOptions
+    def Init(self, buf, pos):
+        self._tab = flatbuffers.table.Table(buf, pos)
+
+def ZerosLikeOptionsStart(builder): builder.StartObject(0)
+def ZerosLikeOptionsEnd(builder): return builder.EndObject()
diff --git a/utensor_cgen/frontend/tflite_flatbuffer/__init__.py b/utensor_cgen/frontend/tflite_flatbuffer/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/utensor_cgen/ir/base.py b/utensor_cgen/ir/base.py
index 6b336878..5dd70922 100644
--- a/utensor_cgen/ir/base.py
+++ b/utensor_cgen/ir/base.py
@@ -70,20 +70,21 @@ class TensorInfo(IRBase, _NoShallowCopyMixin):
   dtype = attr.ib(validator=instance_of((np.dtype, type(None))))
 
   shape = attr.ib(validator=instance_of((list, type(None))))
-  
   @shape.validator
   def check(self, attrib, shape_values):
     if shape_values is not None:
       for v in shape_values:
         assert isinstance(v, (int, type(None))), \
           "shape should be a list of integers"
-          
+
   _ugraph = attr.ib(repr=False)
   @_ugraph.validator
   def check(self, attrib, value):
     if not isinstance(value, uTensorGraph):
       raise ValueError('Expecting a uTensorGraph, get {}'.format(type(value)))
 
+  attributes = attr.ib(factory=dict, validator=instance_of(dict))
+
   _NULL_PREFIX = 'utensor_null'
 
   def move_into(self, ugraph):