Create a search based document for RT-2

.fdignore

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+LICENSE
+*.png
+*.gif
+docs

docs/.gitignore

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+!.gitignore
+!*
+!*/*
+cache_db.json
+cache_tree.json
+vector_cache

docs/cache_title.json

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+{"_default": {"1": {"path": "/README.md", "hash": "08c2bc9b19112d028b3e0d16dc37d63e", "title": "Open-Source Robotic Transformer 2"}, "2": {"path": "/README.md:1-13", "hash": "8165b2d339aff62d4637049e8c0190cf", "title": "RT-2 Project Overview"}, "3": {"path": "/README.md:14-17", "hash": "8f9136708fd86278baeb734c57423b1a", "title": "Promote Project with Badges"}, "4": {"path": "/README.md:17-26", "hash": "4cbe8961a02b11808d0db5c70302d59f", "title": "Easy Sharing Options for RT-2 Project"}, "5": {"path": "/README.md:26-55", "hash": "f68c58fb19f5e8f6218e2649a7d9e318", "title": "Install PALM-E with RT-2 Class"}, "6": {"path": "/README.md:57-79", "hash": "4334585ffa8d0b7ff13932882b19d307", "title": "Robotics Vision-Language-Action Model"}, "7": {"path": "/README.md:79-91", "hash": "7e42dfd471fedc11ff7ce464a16063c2", "title": "Robotic Image-to-Action Model Fine-Tuning"}, "8": {"path": "/README.md:92-109", "hash": "a6607c5716f66bb573a4fa5765241373", "title": "Introducing RT-2: Mobile Manipulation Robot"}, "9": {"path": "/README.md:111-134", "hash": "982396f8d872adc788d7cf40e84bc969", "title": "RT-2 Project Contact and Citation Info"}, "10": {"path": "/README.md:136-136", "hash": "6ed090cf2d5fa81ff446d2697e2e20cf", "title": "MIT License for RT-2 Software"}, "11": {"path": "/example.py", "hash": "dc114c01bcc5034ea72942824955d0ce", "title": "Random Image Generation with RT2 Model"}, "12": {"path": "/pyproject.toml", "hash": "0ede2e6513a5faf7e192ea250f55d0c9", "title": "Pyproject.toml: Python Project Configuration for \"rt2\""}, "13": {"path": "/requirements.txt", "hash": "c9838ad5d43ac7dce215053eb08b3ce5", "title": "Python Dependencies for Project"}, "14": {"path": "/rt2/__init__.py", "hash": "9994576defdf6654d4122f97c18a5a08", "title": "Importing RT2 Class in Init File"}, "15": {"path": "/rt2/model.py", "hash": "3786c95bc8c1d8bf7e5c083f9a02803b", "title": "RT2 Transformer Image Processing"}, "16": {"path": "/rt2/model.py:1-29", "hash": "e3e4261a537b91d4035adf3f8794114a", "title": "RT2: Neural Image Processing Model"}, "17": {"path": "/rt2/model.py:30-63", "hash": "7e960d52dd6d7be8e43ce894733c3ecb", "title": "RT2: Transformer-based Image Processing Model"}, "18": {"path": "/rt2/model.py:64-100", "hash": "61286c1aa8ce8185a857c73bbcb660da", "title": "RT2 Model: Encoder-Decoder Architecture"}, "19": {"path": "/rt2/model.py:101-104", "hash": "edf84d1d712207f79ab2d23198af82cf", "title": "Error Handling Decoder Function"}, "20": {"path": "/tests/test.py", "hash": "701bcf321c02ab1993c5dea3e65155ce", "title": "Model Initialization and Shape Consistency Test"}, "21": {"path": "/tests/test.py:1-51", "hash": "47649b5cc9e35578342bc09a63e1163f", "title": "ML Model Test Fixtures"}, "22": {"path": "/tests/test.py:54-95", "hash": "b50adf7f40d8abbb619534f60567ee84", "title": "Encoder and Decoder Layer Consistency Tests"}, "23": {"path": "/tests/test.py:96-104", "hash": "f40e39cd994b5897f89ac74b8d464c4b", "title": "Testing rt2 Function's Output Shape Consistency"}}}