tree: 5bcc49ac702800870e8bb23ff5cf7829bef004b5 [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. external_cpu_backend_context.cc
  34. external_cpu_backend_context.h
  35. graph_info.cc
  36. graph_info.h
  37. graph_info_test.cc
  38. interpreter.cc
  39. interpreter.h
  40. interpreter_test.cc
  41. memory_planner.h
  42. minimal_logging.cc
  43. minimal_logging.h
  44. minimal_logging_android.cc
  45. minimal_logging_default.cc
  46. minimal_logging_ios.cc
  47. minimal_logging_test.cc
  48. mmap_allocation.cc
  49. mmap_allocation_disabled.cc
  50. model.cc
  51. model.h
  52. model_flex_test.cc
  53. model_test.cc
  54. mutable_op_resolver.cc
  55. mutable_op_resolver.h
  56. mutable_op_resolver_test.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_tflite.h
  68. string_util.cc
  69. string_util.h
  70. string_util_test.cc
  71. tflite_exported_symbols.lds
  72. tflite_static.bp
  73. tflite_version_script.lds
  74. util.cc
  75. util.h
  76. util_test.cc
  77. 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