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-1315682

.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

.github/pull_request_template.md

@@ -1,15 +0,0 @@
-# Pull request guidelines
-
-Welcome to the 🐸tensorflow project! We are excited to see your interest, and appreciate your support!
-
-This repository is governed by the Contributor Covenant Code of Conduct. For more details, see the [CODE_OF_CONDUCT.md](CODE_OF_CONDUCT.md) file.
-
-In order to make a good pull request, please see our [CONTRIBUTING.md](CONTRIBUTING.md) file.
-
-Before accepting your pull request, you will be asked to sign a [Contributor License Agreement](https://cla-assistant.io/coqui-ai/tensorflow).
-
-This [Contributor License Agreement](https://cla-assistant.io/coqui-ai/tensorflow):
-
-- Protects you, Coqui, and the users of the code.
-- Does not change your rights to use your contributions for any purpose.
-- Does not change the license of the 🐸tensorflow project. It just makes the terms of your contribution clearer and lets us know you are OK to contribute.

tensorflow/core/kernels/BUILD

@@ -8655,27 +8655,23 @@ cc_library(
 tf_kernel_library(
     name = "deepspeech_cwise_ops",
     srcs = [
-        "cwise_op_add_1.cc",
-        "cwise_op_add_2.cc",
         "cwise_op_less.cc",
         "cwise_op_minimum.cc",
         "cwise_op_mul_1.cc",
-        "cwise_op_rsqrt.cc",
         "cwise_op_squared_difference.cc",
+        "cwise_op_add_1.cc",
+        "cwise_op_add_2.cc",
+        "cwise_op_rsqrt.cc",
         "cwise_op_sub.cc",
-        "cwise_op_sigmoid.cc",
-        "cwise_op_tanh.cc",
     ],
     gpu_srcs = [
-        "cwise_op_gpu_add.cu.cc",
         "cwise_op_gpu_less.cu.cc",
         "cwise_op_gpu_minimum.cu.cc",
         "cwise_op_gpu_mul.cu.cc",
-        "cwise_op_gpu_rsqrt.cu.cc",
         "cwise_op_gpu_squared_difference.cu.cc",
+        "cwise_op_gpu_add.cu.cc",
+        "cwise_op_gpu_rsqrt.cu.cc",
         "cwise_op_gpu_sub.cu.cc",
-        "cwise_op_gpu_sigmoid.cu.cc",
-        "cwise_op_gpu_tanh.cu.cc",
     ],
     deps = [
         ":cwise_lib",

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

@@ -1,2 +1,2 @@
 numpy==1.16.2
-tensorflow==2.0.0-beta1
+tensorflow==2.1.4-beta1

third_party/aws/workspace.bzl

@@ -9,7 +9,7 @@ def repo():
     third_party_http_archive(
         name = "aws",
         urls = [
-            "https://mirror.tensorflow.orgg/github.com/aws/aws-sdk-cpp/archive/1.7.336.tar.gz",
+            "https://mirror.bazel.build/github.com/aws/aws-sdk-cpp/archive/1.7.336.tar.gz",
             "https://github.com/aws/aws-sdk-cpp/archive/1.7.336.tar.gz",
         ],
         sha256 = "758174f9788fed6cc1e266bcecb20bf738bd5ef1c3d646131c9ed15c2d6c5720",