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

.bazelrc

@@ -221,13 +221,6 @@ build:rpi3-armv8 --copt=-march=armv8-a --copt=-mtune=cortex-a53 --copt=-DRASPBER
 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
-
 # Options extracted from configure script
 build:ngraph --define=with_ngraph_support=true
 build:numa --define=with_numa_support=true

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

@@ -1,2 +1,2 @@
-numpy==1.16.2
+numpy==1.16.3
 tensorflow==2.0.0-beta1