# See https://medium.com/@artur.klauser/building-multi-architecture-docker-images-with-buildx-27d80f7e2408 for more info
# * docker run --rm --privileged multiarch/qemu-user-static --reset -p yes
# * docker buildx create --name multi-arch --platform linux/amd64,linux/arm64 --use
# * export DOCKER_ARCHITECTURES="linux/amd64,linux/arm64"
# Note: if you already have a container builder before running the qemu setup you will need to restart them

  if (project.name == "container-tests") return@subprojects

  apply(plugin = "checkstyle")
  apply(plugin = "ru.vyarus.animalsniffer")
  apply(plugin = "biz.aQute.bnd.builder")

  tasks.withType<JavaCompile> {
    options.encoding = Charsets.UTF_8.toString()
  }

  configure<JavaPluginExtension> {
    toolchain {
      languageVersion.set(JavaLanguageVersion.of(17))
    }
  }

    ]) + if_not_mobile([
        # TODO(b/111634734): :lib and :protos_all contain dependencies that
        # cannot be built on mobile platforms. Instead, include the appropriate
        # tf_lib depending on the build platform.
        "@com_google_absl//absl/memory:memory",
        "//tensorflow/core:lib",
        "//tensorflow/core/util/tensor_bundle:byteswaptensor",
    ]),
)

tf_cc_test(
    name = "reader_test",

    ],
)

package_group(
    name = "friends",
    includes = [
        "//tensorflow/compiler/tf2xla:friends",
    ],
)

# defs.cc/h only contains string constants, and can be included in mobile
# builds.
filegroup(
    name = "mobile_srcs_no_runtime",
    srcs = [
        "defs.cc",
        "defs.h",
    ],
    visibility = [":friends"],
)

# Target that bundles up the XLA CPU and GPU JIT devices.

A. Unique TensorFlower <******@****.***> 1711560469 +0000

A. Unique TensorFlower <******@****.***> 1712851516 -0700

A. Unique TensorFlower <******@****.***> 1711560469 +0000

A. Unique TensorFlower <******@****.***> 1711560469 +0000

A. Unique TensorFlower <******@****.***> 1713593984 -0700

A. Unique TensorFlower <******@****.***> 1712002312 -0700