tree: 6814ca7db96c11b1bb1c1d2980d14ef30db71612 [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. arena_planner.cc
  23. arena_planner.h
  24. arena_planner_test.cc
  25. BUILD
  26. build_def.bzl
  27. builtin_op_data.h
  28. builtin_ops.h
  29. context.h
  30. context_util.h
  31. error_reporter.h
  32. graph_info.cc
  33. graph_info.h
  34. graph_info_test.cc
  35. interpreter.cc
  36. interpreter.h
  37. interpreter_test.cc
  38. memory_planner.h
  39. minimal_logging.cc
  40. minimal_logging.h
  41. minimal_logging_android.cc
  42. minimal_logging_default.cc
  43. minimal_logging_ios.cc
  44. minimal_logging_test.cc
  45. mmap_allocation.cc
  46. mmap_allocation_disabled.cc
  47. model.cc
  48. model.h
  49. model_flex_test.cc
  50. model_test.cc
  51. mutable_op_resolver.cc
  52. mutable_op_resolver.h
  53. mutable_op_resolver_test.cc
  54. nnapi_delegate.cc
  55. nnapi_delegate.h
  56. nnapi_delegate_disabled.cc
  57. op_resolver.h
  58. optional_debug_tools.cc
  59. optional_debug_tools.h
  60. README.md
  61. simple_memory_arena.cc
  62. simple_memory_arena.h
  63. simple_memory_arena_test.cc
  64. special_rules.bzl
  65. stderr_reporter.cc
  66. stderr_reporter.h
  67. string.h
  68. string_util.cc
  69. string_util.h
  70. string_util_test.cc
  71. tflite_exported_symbols.lds
  72. tflite_version_script.lds
  73. util.cc
  74. util.h
  75. util_test.cc
  76. 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