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-TENSORFLOW-1050379

.bazelrc

@@ -94,9 +94,6 @@ build:libc++ --linkopt -fuse-ld=lld
 # https://docs.bazel.build/versions/master/user-manual.html#flag--fat_apk_cpu
 build:android --crosstool_top=//external:android/crosstool
 build:android --host_crosstool_top=@bazel_tools//tools/cpp:toolchain
-build:android --copt=-D_GLIBCXX_USE_C99
-build:android --cxxopt=-std=c++14
-build:android --action_env ANDROID_NDK_API_LEVEL=21
 build:android_arm --config=android
 build:android_arm --cpu=armeabi-v7a
 build:android_arm --fat_apk_cpu=armeabi-v7a
@@ -212,21 +209,16 @@ build:rpi3 --crosstool_top=//third_party/toolchains/embedded/linaro-gcc72-armeab
 build:rpi3 --cpu=armv7a --define=target_system=rpi3
 build:rpi3 --copt=-march=armv7-a --copt=-mtune=cortex-a53 --copt=-mfloat-abi=hard --copt=-mfpu=neon-fp-armv8 --copt=-DRASPBERRY_PI --copt=-D_GLIBCXX_USE_CXX11_ABI=0 --copt=-std=gnu99 --copt=-mno-unaligned-access
 build:rpi3 --define=tensorflow_mkldnn_contraction_kernel=0
-build:rpi3_opt -c opt --config=rpi3 --copt=-funsafe-math-optimizations --copt=-ftree-vectorize --copt=-pipe
+build:rpi3 --define=runtime=tflite
+build:rpi3_opt --copt=-funsafe-math-optimizations --copt=-ftree-vectorize --copt=-pipe
 
 build:rpi3-armv8 --host_crosstool_top=@bazel_tools//tools/cpp:toolchain
 build:rpi3-armv8 --crosstool_top=//third_party/toolchains/embedded/linaro-gcc72-aarch64:toolchain
 build:rpi3-armv8 --cpu=aarch64 --define=target_system=rpi3-armv8
 build:rpi3-armv8 --copt=-march=armv8-a --copt=-mtune=cortex-a53 --copt=-DRASPBERRY_PI --copt=-D_GLIBCXX_USE_CXX11_ABI=0 --copt=-std=gnu99
 build:rpi3-armv8 --define=tensorflow_mkldnn_contraction_kernel=0
-build:rpi3-armv8_opt -c opt --config=rpi3-armv8 --copt=-funsafe-math-optimizations --copt=-ftree-vectorize --copt=-pipe
-
-build:rpi4ub-armv8 --host_crosstool_top=@bazel_tools//tools/cpp:toolchain
-build:rpi4ub-armv8 --crosstool_top=//third_party/toolchains/embedded/linaro-gcc72-aarch64:toolchain
-build:rpi4ub-armv8 --cpu=aarch64 --define=target_system=rpi4ub-armv8
-build:rpi4ub-armv8 --copt=-march=armv8-a --copt=-mtune=cortex-a72 --copt=-DRASPBERRY_PI --copt=-D_GLIBCXX_USE_CXX11_ABI=0 --copt=-std=gnu99
-build:rpi4ub-armv8 --define=tensorflow_mkldnn_contraction_kernel=0
-build:rpi4ub-armv8_opt -c opt --config=rpi4ub-armv8 --copt=-funsafe-math-optimizations --copt=-ftree-vectorize --copt=-pipe
+build:rpi3-armv8 --define=runtime=tflite
+build:rpi3-armv8_opt --copt=-funsafe-math-optimizations --copt=-ftree-vectorize --copt=-pipe
 
 # Options extracted from configure script
 build:ngraph --define=with_ngraph_support=true

WORKSPACE

@@ -18,18 +18,6 @@ load("//tensorflow:workspace.bzl", "tf_repositories")
 # Please add all new TensorFlow dependencies in workspace.bzl.
 tf_repositories()
 
-load("@bazel_tools//tools/build_defs/repo:git.bzl", "git_repository")
-
-git_repository(
-    name = "com_github_nelhage_rules_boost",
-    commit = "1e3a69bf2d5cd10c34b74f066054cd335d033d71",
-    remote = "https://github.com/nelhage/rules_boost",
-    shallow_since = "1591047380 -0700",
-)
-
-load("@com_github_nelhage_rules_boost//:boost/boost.bzl", "boost_deps")
-boost_deps()
-
 register_toolchains("@local_config_python//:py_toolchain")
 
 load("@io_bazel_rules_closure//closure:defs.bzl", "closure_repositories")

tensorflow/lite/micro/examples/magic_wand/train/requirements.txt

@@ -1,2 +1,2 @@
 numpy==1.16.2
-tensorflow==2.0.0-beta1
+tensorflow==2.4.0-beta1