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g3doc UPdate tflite converter diagram. Oct 12, 2018
java Java support for initializing tensorflow libraries. Oct 11, 2018
kernels Bugfixes. Oct 15, 2018
lib_package Fix create_ios_frameworks.sh Aug 24, 2018
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nnapi Add NNAPI padding enums to NeuralNetworksShim.h Oct 3, 2018
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python Fix TensorFlow Lite Convert on Windows Oct 13, 2018
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testdata Use weak symbols to inject flex delegates Oct 4, 2018
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arena_planner.cc Align TFLite tensors to 64 bytes for EIGEN_DONT_ALIGN Jul 20, 2018
arena_planner.h Modularize TF Lite interface definitions and reorganize file structure Sep 8, 2018
arena_planner_test.cc Align TFLite tensors to 64 bytes for EIGEN_DONT_ALIGN Jul 20, 2018
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mutable_op_resolver.cc Add basic op resolver registration to TFLite C API Sep 17, 2018
mutable_op_resolver.h Add basic op resolver registration to TFLite C API Sep 17, 2018
mutable_op_resolver_test.cc Add basic op resolver registration to TFLite C API Sep 17, 2018
nnapi_delegate.cc Add Range to schema. Oct 11, 2018
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nnapi_delegate_disabled.cc Fix several build warnings in TFLite Sep 5, 2018
op_resolver.h Modularize TF Lite interface definitions and reorganize file structure Sep 8, 2018
optional_debug_tools.cc Tweak PrintInterpreterState() output Sep 24, 2018
optional_debug_tools.h fix C++ header guards. Aug 21, 2018
simple_memory_arena.cc More changes for TFLite portability Jul 26, 2018
simple_memory_arena.h Modularize TF Lite interface definitions and reorganize file structure Sep 8, 2018
simple_memory_arena_test.cc Handle zero-sized TFLite tensor allocations Jun 12, 2018
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string_util_test.cc Modularize TF Lite interface definitions and reorganize file structure Sep 8, 2018
util.cc Rename TFLite Eager delegate -> Flex delegate Sep 27, 2018
util.h Rename TFLite Eager delegate -> Flex delegate Sep 27, 2018
util_test.cc Rename TFLite Eager delegate -> Flex delegate Sep 27, 2018
version.h Remove THIRD_PARTY_ from #include guards Jan 24, 2018

README.md

TensorFlow Lite

TensorFlow Lite is TensorFlow's lightweight solution for mobile and embedded devices. It enables low-latency inference of on-device machine learning models with a small binary size and fast performance supporting hardware acceleration.

See the documentation: https://www.tensorflow.org/lite/ Documentation edits can be made here: tensorflow/contrib/lite/g3doc