build:macos_arm64 --macos_minimum_os=11.0

# iOS configs for each architecture and the fat binary builds.
build:ios --apple_platform_type=ios
build:ios --apple_bitcode=embedded --copt=-fembed-bitcode
build:ios --copt=-Wno-c++11-narrowing
build:ios_armv7 --config=ios
build:ios_armv7 --cpu=ios_armv7
build:ios_arm64 --config=ios
build:ios_arm64 --cpu=ios_arm64
build:ios_arm64e --config=ios
build:ios_arm64e --cpu=ios_arm64e

fi

pattern="$1"
if [ "$pattern" = "" ]; then
	pattern=.
fi

./make.bash || exit 1
GOROOT="$(cd .. && pwd)"

gettargets() {
	../bin/go tool dist list | sed -e 's|/|-|' |
		grep -E -v '^(android|ios)' # need C toolchain even for cross-compiling
	echo linux-arm-arm5
}

selectedtargets() {
	gettargets | grep -E "$pattern"
}

# put linux first in the target list to get all the architectures up front.

This platform is agnostic to what kind of software is being developed.
It might be Java or Kotlin libraries running on the JVM, Gradle plugins, Android or iOS applications, C++ libraries, and so on.

This platform does not provide special support for a particular language or ecosystem.

### JVM platform

*   [Performance] Increase performance of `tf.layers.conv2d` when setting
    use_bias=True by 2x by using nn.bias_add.
*   Update iOS examples to use CocoaPods, and moved to tensorflow/examples/ios.
*   Adds a family= attribute in `tf.summary` ops to allow controlling the tab
    name used in Tensorboard for organizing summaries.