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STT-tensorflow/tensorflow/lite
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snyk-bot 88fb41c48b
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
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296354
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296357
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296360
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296363
- 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
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296425
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296428
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296431
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296434
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296437
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296440
- 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
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296461
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296464
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296467
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296470
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296473
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296476
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296479
- 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
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296514
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296517
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296520
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296523
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296526
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296529
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296532
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296571
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296572
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296573
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296574
- 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
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296613
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296616
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296619
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296622
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296625
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296628
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296631
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296634
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296637
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296640
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296643
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296646
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296649
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1296652
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1315682
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540670
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540673
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540676
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540680
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540683
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540686
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540689
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540692
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540695
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540698
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540702
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540705
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540709
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540712
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540715
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540719
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540723
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540729
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540732
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540738
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540742
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540746
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540749
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540752
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540755
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540758
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540782
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540785
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540788
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540791
- https://snyk.io/vuln/SNYK-PYTHON-TENSORFLOW-1540794
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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 #36251 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 Small adjustments on import spacing. 2019-12-19 16:00:05 -08:00
allocation.cc Merge pull request #27347 from ANSHUMAN87:allocation-comments 2020-02-14 15:24:19 -08:00
allocation.h Implement "Greedy by size planner" for more optimal memory allocation 2020-02-04 16:08:39 -08:00
arena_planner_test.cc Implement "Greedy by size planner" for more optimal memory allocation 2020-02-04 16:08:39 -08:00
arena_planner.cc Merge pull request #39927 from tg-at-google:patch-5 2020-06-02 17:59:04 -07:00
arena_planner.h Implement "Greedy by size planner" for more optimal memory allocation 2020-02-04 16:08:39 -08:00
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 Migrate TensorFlow Lite out of tensorflow/contrib 2018-10-31 14:20:28 -07:00
builtin_ops.h Add BatchMatMul built-in op for TF Lite 2020-03-23 12:22:47 -07:00
context_util.h Rename lite/c/c_api_internal.h to lite/c/common.h 2019-11-25 21:49:25 -08:00
context.h Rename lite/c/c_api_internal.h to lite/c/common.h 2019-11-25 21:49:25 -08:00
error_reporter.h Migrate TensorFlow Lite out of tensorflow/contrib 2018-10-31 14:20:28 -07:00
external_cpu_backend_context.cc Make TfLiteInternalBackendContext as a interface-only abstract class. 2019-07-22 19:34:07 -07:00
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 Fix graph partitioning algorithm to use real node indices from execution plan. 2019-06-25 22:25:08 -07:00
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 minor spelling tweaks 2020-03-19 02:33:15 +09:00
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 Utilize weak symbol to apply XNNPACK delegate by default in TFLite. 2020-03-25 22:30:43 -07:00
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 Add MemoryPlanner::ResetAllocationsAfter() 2020-01-27 18:01:53 -08:00
minimal_logging_android.cc Add console log hooks for TFLite delegates 2019-04-01 15:43:18 -07:00
minimal_logging_default.cc Fix minor clang warnings for tflite, for toolchains with pickier configurations. 2019-04-03 14:47:43 -07:00
minimal_logging_ios.cc Add console log hooks for TFLite delegates 2019-04-01 15:43:18 -07:00
minimal_logging_test.cc Only prod log interpreter creation on mobile platforms 2019-08-15 17:49:46 -07:00
minimal_logging.cc Fix minor clang warnings for tflite, for toolchains with pickier configurations. 2019-04-03 14:47:43 -07:00
minimal_logging.h Only prod log interpreter creation on mobile platforms 2019-08-15 17:49:46 -07:00
mmap_allocation_disabled.cc Automated rollback of commit 19f417d905 2019-07-02 17:43:32 -07:00
mmap_allocation.cc Automated rollback of commit 19f417d905 2019-07-02 17:43:32 -07:00
model_builder.cc Internal change 2020-03-24 18:16:31 -07:00
model_builder.h Qualify references to std::string. 2020-04-13 11:17:31 -07:00
model_flex_test.cc Migrate TensorFlow Lite out of tensorflow/contrib 2018-10-31 14:20:28 -07:00
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 Add single-parameter versions of AddBuiltin and AddCustom functions. 2020-03-16 17:22:39 -07:00
mutable_op_resolver.cc Add single-parameter versions of AddBuiltin and AddCustom functions. 2020-03-16 17:22:39 -07:00
mutable_op_resolver.h Add single-parameter versions of AddBuiltin and AddCustom functions. 2020-03-16 17:22:39 -07:00
op_resolver.h Migrate TensorFlow Lite out of tensorflow/contrib 2018-10-31 14:20:28 -07:00
optional_debug_tools.cc Introduce persistent, read-only TFLite tensor type 2020-05-12 14:19:55 -07:00
optional_debug_tools.h Migrate TensorFlow Lite out of tensorflow/contrib 2018-10-31 14:20:28 -07:00
README.md Migrate TensorFlow Lite out of tensorflow/contrib 2018-10-31 14:20:28 -07:00
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 Use std::vector instead of std:list for ArenaAllocWithUsageInterval container 2020-03-26 01:07:03 -07:00
special_rules.bzl Internal test change for Hexagon 2020-05-28 18:12:40 -07:00
stderr_reporter.cc Add console log hooks for TFLite delegates 2019-04-01 15:43:18 -07:00
stderr_reporter.h Rename lite/c/c_api_internal.h to lite/c/common.h 2019-11-25 21:49:25 -08:00
string_type.h Add Mbed CI testing support 2019-09-05 13:53:45 -07:00
string_util_test.cc Merge branch 'master' of https://github.com/tensorflow/tensorflow into issue-s390-lite-2 2020-01-15 12:14:25 -08:00
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 Add libtensorflowlite.so target 2019-02-04 17:25:07 -08:00
tflite_version_script.lds Add libtensorflowlite.so target 2019-02-04 17:25:07 -08:00
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 Improve GPU delegate graph partitioning logic 2020-03-13 23:28:48 -07:00
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 Add TensorFlow Lite runtime version 2019-03-18 12:35:50 -07:00

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