STT-tensorflow/tensorflow/lite
A. Unique TensorFlower 3f837ab7ab Remove c_api_types.h copy from iOS benchmark
When building the benchmark, tensorflow/lite/c/c_api_types.h can directly be used instead.

PiperOrigin-RevId: 352370612
Change-Id: I6a84049af5e5203ed0a2f90e92be9e97e97bb16b
2021-01-18 02:26:23 -08:00
..
c Add Conv3D reference kernel to TFLite 2021-01-13 21:36:14 -08:00
core Merge pull request #46239 from rsun-bdti:issue-45196-pr1 2021-01-14 16:23:54 -08:00
delegates Elementwise tests logic moved to elementwise_test_util that can be reused among different backends. 2021-01-15 08:49:28 -08:00
examples Merge pull request #43513 from vsilyaev:pull_request/Use_std_endl_for_flush 2020-11-10 16:58:11 -08:00
experimental PY2 removal cleanup 2021-01-15 16:48:57 -08:00
g3doc Make the experimental_new_quantizer flag to be public 2021-01-12 12:35:36 -08:00
ios Fix iOS static framework link error by using custom object file extractor 2021-01-11 03:32:23 -08:00
java [tf.lite] Re-land "Fix JNI memory leak when constructor exceptions are thrown" 2021-01-14 12:16:15 -08:00
kernels Merge pull request #45870 from ddavis-2015:FloorDiv-pr2 2021-01-15 07:26:23 -08:00
lib_package Clean up Makefile based build scripts for TFLite iOS 2020-06-21 21:15:25 -07:00
micro PY2 removal cleanup 2021-01-15 16:48:57 -08:00
nnapi
objc Rename the ObjC tests target name 2020-12-29 21:12:49 -08:00
profiling Add -Wc++14-compat to common TFLite warning opts 2021-01-13 11:55:58 -08:00
python PY2 removal cleanup 2021-01-15 16:48:57 -08:00
schema PY2 removal cleanup 2021-01-15 16:48:57 -08:00
swift Update TFLite CocoaPods podspec files for 2.4.0 2020-12-15 00:12:05 -08:00
testdata Add tests for user's defined op in Flex delegate 2020-11-30 18:24:41 -08:00
testing PY2 removal cleanup 2021-01-15 16:48:57 -08:00
toco PY2 removal cleanup 2021-01-15 16:48:57 -08:00
tools Remove c_api_types.h copy from iOS benchmark 2021-01-18 02:26:23 -08:00
tutorials BUILD file cleanup 2020-09-30 16:03:47 -07:00
allocation.cc Merge pull request #27347 from ANSHUMAN87:allocation-comments 2020-02-14 15:24:19 -08:00
allocation.h [tf.lite] Documentation fixes: 2020-07-17 10:45:33 -07:00
arena_planner_test.cc Provide a way to keep temporary tensors 2020-12-09 18:28:31 -08:00
arena_planner.cc Improve code quality in ArenaPlanner's PlanAllocations method. 2021-01-05 19:15:19 -08:00
arena_planner.h Shift memory allocation parameters to lite/util. Also make specifying these parameters explicit in runtime code. 2020-07-09 12:53:38 -07:00
BUILD Add -Wc++14-compat to common TFLite warning opts 2021-01-13 11:55:58 -08:00
build_def.bzl Make tflite_copts() pluggable. 2021-01-14 09:19:52 -08:00
builtin_op_data.h
builtin_ops.h Add Conv3D reference kernel to TFLite 2021-01-13 21:36:14 -08:00
CMakeLists.txt tflite: Add fp16 headers to cmake rule 2021-01-14 16:38:06 -08:00
context_util.h
context.h Rename lite/c/c_api_internal.h to lite/c/common.h 2019-11-25 21:49:25 -08:00
create_op_resolver_with_builtin_ops.cc Selective build rule for C 2020-12-14 19:04:03 -08:00
create_op_resolver_with_selected_ops.cc Selective build rule for C 2020-12-14 19:04:03 -08:00
create_op_resolver.h Selective build rule for C 2020-12-14 19:04:03 -08:00
error_reporter.h
external_cpu_backend_context.cc
external_cpu_backend_context.h
graph_info_test.cc
graph_info.cc
graph_info.h
interpreter_builder.cc Retrieve shape_signature as vector to get correct value on big-endian machines 2020-12-09 11:16:10 -05:00
interpreter_builder.h Document that for an InterpreterBuilder constructed from a FlatBufferModel, 2021-01-14 09:03:33 -08:00
interpreter_test.cc
interpreter.cc Implement a telemetry library for delegates to report their settings/status for A@S 2020-12-07 13:23:18 -08:00
interpreter.h Split delegate_test.cc: move tests of InvokeWithCPUFallback into 2020-12-01 09:28:26 -08:00
memory_planner.h
minimal_logging_android.cc Fix SEGV on Android x86_64. 2020-11-25 18:52:49 -08:00
minimal_logging_default.cc
minimal_logging_ios.cc
minimal_logging_test.cc
minimal_logging.cc
minimal_logging.h
mmap_allocation_disabled.cc
mmap_allocation.cc
model_builder.cc Force enabling TFLite tracing with TFLITE_ENABLE_DEFAULT_PROFILER define. 2020-08-31 16:19:06 -07:00
model_builder.h
model_flex_test.cc
model_test.cc [tflite] Ensure input tensors don't have nullptr buffers. 2020-09-18 14:34:47 -07:00
model_xnnpack_test.cc
model.h
mutable_op_resolver_test.cc
mutable_op_resolver.cc
mutable_op_resolver.h
op_resolver.h Migrate TensorFlow Lite out of tensorflow/contrib 2018-10-31 14:20:28 -07:00
optional_debug_tools.cc Add uint64 tensor support in TFLite 2020-11-17 14:01:21 -08:00
optional_debug_tools.h
portable_type_to_tflitetype.h TFLM: Remove <complex> header from portable_type_to_tflitetype.h 2021-01-06 17:08:51 -08:00
README.md Migrate TensorFlow Lite out of tensorflow/contrib 2018-10-31 14:20:28 -07:00
shared_library.h tflite_runtime: Fix FlexDelegate on Windows 2020-12-07 21:01:13 -08:00
simple_memory_arena_test.cc
simple_memory_arena.cc Fix BufferAndPlanClearingTest 2020-05-20 13:28:42 -07:00
simple_memory_arena.h
special_rules.bzl Make tflite_copts() pluggable. 2021-01-14 09:19:52 -08:00
stateful_error_reporter.h Add StatefulErrorReporter and make error_reporter() public from Interpreter API. 2020-10-05 14:59:44 -07:00
stderr_reporter_test.cc
stderr_reporter.cc
stderr_reporter.h
string_type.h
string_util_test.cc
string_util.cc
string_util.h
tflite_exported_symbols.lds
tflite_version_script.lds
tflite_with_xnnpack_optional.cc Add a compile flag (i.e. adding "--define tflite_with_xnnpack=true" when using bazel to build, which corresponds to defining macro TFLITE_BUILD_WITH_XNNPACK_DELEGATE) to apply XNNPACK delegate in TFLite runtime. 2020-05-17 21:10:25 -07:00
tflite_with_xnnpack_optional.h
tflite_with_xnnpack.cc
type_to_tflitetype_test.cc
type_to_tflitetype.h TFLM: Remove <complex> header from portable_type_to_tflitetype.h 2021-01-06 17:08:51 -08:00
util_test.cc Improve GPU delegate graph partitioning logic 2020-03-13 23:28:48 -07:00
util.cc Add uint64 tensor support in TFLite 2020-11-17 14:01:21 -08:00
util.h
version.h

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/lite/g3doc