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fix: tensorflow/lite/micro/examples/magic_wand/train/requirements.txt to reduce vulnerabilities 
The following vulnerabilities are fixed by pinning transitive dependencies:
- https://snyk.io/vuln/SNYK-PYTHON-NUMPY-73513
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1020813
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1020816
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1050385
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1050394
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296180
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296326
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296329
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296331
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296336
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296339
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296342
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296345
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296348
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296351
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- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296360
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- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296366
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296369
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296372
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296375
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296378
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296381
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296384
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296390
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296393
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296396
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296399
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296402
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296407
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296416
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296422
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- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296428
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- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296434
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296437
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- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296443
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296446
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296449
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296452
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296455
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296458
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- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296482
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296485
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296488
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296491
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296494
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296497
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296499
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296502
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296505
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296508
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296511
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- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296573
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- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296575
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296576
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296577
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296578
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296579
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296580
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296581
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296582
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296583
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296584
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296585
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296586
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296587
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296588
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296589
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296590
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296591
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296592
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296595
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296598
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296601
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296610
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- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296643
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- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1315682
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540670
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2021-10-09 00:54:19 +00:00
..
c Rename kTfLiteActRelu1 to kTfLiteActReluN1To1 2020-06-21 21:32:44 -07:00
core Rename kTfLiteActRelu1 to kTfLiteActReluN1To1 2020-06-21 21:32:44 -07:00
delegates Refactor eager placement logic into three util methods: 2020-06-22 18:05:46 -07:00
examples [tflite] make label_image build on linux and macOS 2020-06-17 09:25:28 +08:00
experimental Rename kTfLiteActRelu1 to kTfLiteActReluN1To1 2020-06-21 21:32:44 -07:00
g3doc Update document to use latest TF API - gfile has been moved to tf.io 2020-06-22 16:04:30 -07:00
java Disable tsan on InterpreterFlexTest and SelectiveBuiltInterpreterFlexTest 2020-06-18 19:35:34 -07:00
kernels Rename a few remaining cell_ptr and cell_scale to cell_state_ptr and cell_state_scale. 2020-06-22 11:19:12 -07:00
lib_package Clean up Makefile based build scripts for TFLite iOS 2020-06-21 21:15:25 -07:00
micro fix: tensorflow/lite/micro/examples/magic_wand/train/requirements.txt to reduce vulnerabilities 2021-10-09 00:54:19 +00:00
nnapi load nnapi 1.3 memory domain functions in shim layer. 2020-06-16 14:24:22 -07:00
profiling 1. Add a new event type for general tflite runtime instrumentation, and allow a Profiler to choose which event type it will record. 2020-05-28 06:17:22 -07:00
python Merge pull request from wwwind:interface_16x8 2020-06-18 19:47:52 -07:00
schema Adds support for half_pixel_centers in TFLite's resize nearest neighbor op. 2020-05-05 15:47:46 -07:00
testdata Support TFLite in the tool to print selective registration header 2020-06-02 00:49:20 -07:00
testing Make control_dep test mlir-only, since tf2 behavior introduces control-flow ops that are not supported by TOCO 2020-06-18 10:46:26 -07:00
toco Qualify uses of std::string 2020-06-22 11:45:26 -07:00
tools Mozilla TensorFlow r2.3 2020-08-06 19:19:26 +02:00
tutorials
allocation.cc
allocation.h
arena_planner_test.cc
arena_planner.cc Merge pull request from tg-at-google:patch-5 2020-06-02 17:59:04 -07:00
arena_planner.h
BUILD Modified BUILD rules to have a more explicit way to enable XNNPACK delegate by default. 2020-06-09 23:19:50 -07:00
build_def.bzl Make control_dep test mlir-only, since tf2 behavior introduces control-flow ops that are not supported by TOCO 2020-06-18 10:46:26 -07:00
builtin_op_data.h
builtin_ops.h
context_util.h
context.h
error_reporter.h
external_cpu_backend_context.cc
external_cpu_backend_context.h Permit runtime opt-in for caching of prepacked matrices in GEMMs. 2020-06-04 17:10:17 -07:00
graph_info_test.cc
graph_info.cc Rectifies delegation of DEQUANTIZE nodes in fp16 graphs. Only those dequant nodes which are consumed in the first delegated partition are now selected. 2020-06-03 16:41:38 -07:00
graph_info.h
interpreter_builder.cc Move enabling xnnpack delegate to AllocateTensors to allow other delegates to be applied first. 2020-06-18 21:02:44 -07:00
interpreter_builder.h
interpreter_test.cc Split delegate-specific interpreter tests into a separate file 2020-05-19 16:06:19 -07:00
interpreter.cc Move enabling xnnpack delegate to AllocateTensors to allow other delegates to be applied first. 2020-06-18 21:02:44 -07:00
interpreter.h Move enabling xnnpack delegate to AllocateTensors to allow other delegates to be applied first. 2020-06-18 21:02:44 -07:00
memory_planner.h
minimal_logging_android.cc
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
model_builder.h Qualify references to std::string. 2020-04-13 11:17:31 -07:00
model_flex_test.cc
model_test.cc Fix minimal logging build for macos 2020-06-08 12:13:51 -07:00
model_xnnpack_test.cc Modified BUILD rules to have a more explicit way to enable XNNPACK delegate by default. 2020-06-09 23:19:50 -07:00
model.h Internal change 2020-03-31 11:38:12 -07:00
mutable_op_resolver_test.cc
mutable_op_resolver.cc
mutable_op_resolver.h
op_resolver.h
optional_debug_tools.cc Introduce persistent, read-only TFLite tensor type 2020-05-12 14:19:55 -07:00
optional_debug_tools.h
README.md
simple_memory_arena_test.cc Fix BufferAndPlanClearingTest 2020-05-20 13:28:42 -07:00
simple_memory_arena.cc Fix BufferAndPlanClearingTest 2020-05-20 13:28:42 -07:00
simple_memory_arena.h
special_rules.bzl Internal test change for Hexagon 2020-05-28 18:12:40 -07:00
stderr_reporter.cc
stderr_reporter.h
string_type.h
string_util_test.cc
string_util.cc Fix bazel TFLM compilation w/ TF_LITE_STATIC_MEMORY 2020-05-14 16:27:45 -07:00
string_util.h Fix bazel TFLM compilation w/ TF_LITE_STATIC_MEMORY 2020-05-14 16:27:45 -07:00
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 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.cc Fixed reference names. 2020-04-01 01:48:15 -07:00
type_to_tflitetype.h Add float64 tensor support in TFLite 2020-04-03 23:20:03 -07:00
util_test.cc
util.cc Replace usage of GetFirstNLargestPartitions with GetNodesOfFirstNLargestPartitions 2020-05-29 11:47:49 -07:00
util.h Replace usage of GetFirstNLargestPartitions with GetNodesOfFirstNLargestPartitions 2020-05-29 11:47:49 -07:00
version.h

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