tree: 8394f1e4d359eba070aa86ff70d0afa619777ef2 [path history] [tgz]
  1. c/
  2. core/
  3. delegates/
  4. examples/
  5. experimental/
  6. g3doc/
  7. java/
  8. kernels/
  9. lib_package/
  10. models/
  11. nnapi/
  12. profiling/
  13. python/
  14. schema/
  15. testdata/
  16. testing/
  17. toco/
  18. tools/
  19. tutorials/
  20. allocation.cc
  21. allocation.h
  22. Android.bp
  23. arena_planner.cc
  24. arena_planner.h
  25. arena_planner_test.cc
  26. BUILD
  27. build_def.bzl
  28. builtin_op_data.h
  29. builtin_ops.h
  30. context.h
  31. context_util.h
  32. error_reporter.h
  33. graph_info.cc
  34. graph_info.h
  35. graph_info_test.cc
  36. interpreter.cc
  37. interpreter.h
  38. interpreter_test.cc
  39. memory_planner.h
  40. minimal_logging.cc
  41. minimal_logging.h
  42. minimal_logging_android.cc
  43. minimal_logging_default.cc
  44. minimal_logging_ios.cc
  45. minimal_logging_test.cc
  46. mmap_allocation.cc
  47. mmap_allocation_disabled.cc
  48. model.cc
  49. model.h
  50. model_flex_test.cc
  51. model_test.cc
  52. mutable_op_resolver.cc
  53. mutable_op_resolver.h
  54. mutable_op_resolver_test.cc
  55. nnapi_delegate.cc
  56. nnapi_delegate.h
  57. nnapi_delegate_disabled.cc
  58. op_resolver.h
  59. optional_debug_tools.cc
  60. optional_debug_tools.h
  61. README.md
  62. simple_memory_arena.cc
  63. simple_memory_arena.h
  64. simple_memory_arena_test.cc
  65. special_rules.bzl
  66. stderr_reporter.cc
  67. stderr_reporter.h
  68. string_tflite.h
  69. string_util.cc
  70. string_util.h
  71. string_util_test.cc
  72. tflite_exported_symbols.lds
  73. tflite_static.bp
  74. tflite_version_script.lds
  75. util.cc
  76. util.h
  77. util_test.cc
  78. version.h
tensorflow/lite/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/lite/g3doc