<developerConnection>scm:my-scm:https://domain.org/base/child/</developerConnection>
    <url>https://domain.org/base/child</url>
  </scm>
  <distributionManagement>
    <site>
      <url>scp://scp.domain.org/base/child/</url>
    </site>
  </distributionManagement>

  <properties>
    <project.directory>child</project.directory>
  </properties>

        "//tensorflow/lite/c:common",
        "//tensorflow/lite/core/api",
        "//tensorflow/lite/delegates/flex:delegate",
        "//tensorflow/lite/kernels/internal:compatibility",
        "//tensorflow/lite/kernels:builtin_ops",
        "//tensorflow/lite/kernels:reference_ops",
        "//tensorflow/compiler/mlir/lite/schema:schema_fbs",
        "//tensorflow/lite/toco/logging:conversion_log_util",

  <scm>
    <url>https://domain.org/override</url><!-- check that this won't impact child.site.url.inherit.append.path attribute inheritance -->
  </scm>
  <distributionManagement>
    <site><!-- overriding 1 element will reset all elements, but not child.site.url.inherit.append.path attribute -->
      <name>reset</name>
    </site>
  </distributionManagement>

test:linux_cpu_wheel_test --@local_tsl//third_party/py:wheel_dependency=true --config=linux_cpu_wheel_test_filters -- //tensorflow/... -//tensorflow/compiler/tf2tensorrt/... -//tensorflow/core/tpu/... -//tensorflow/lite/... -//tensorflow/tools/toolchains/... -//tensorflow/tools/pip_package:import_api_packages_test
# CUDA WHEEL

		// Cluster Replication APIs
		adminRouter.Methods(http.MethodPut).Path(adminVersion + "/site-replication/add").HandlerFunc(adminMiddleware(adminAPI.SiteReplicationAdd))
		adminRouter.Methods(http.MethodPut).Path(adminVersion + "/site-replication/remove").HandlerFunc(adminMiddleware(adminAPI.SiteReplicationRemove))
		adminRouter.Methods(http.MethodGet).Path(adminVersion + "/site-replication/info").HandlerFunc(adminMiddleware(adminAPI.SiteReplicationInfo))

        construct the layer with LSTM(recurrent_activation='hard_sigmoid') to
        fallback to 1.x behavior.
*   TensorFlow Lite
    *   Move from `tensorflow/contrib/lite` to `tensorflow/lite`.
    *   Add experimental Java API for injecting TensorFlow Lite delegates
    *   Add support for strings in TensorFlow Lite Java API.
*   `tf.contrib`:
    *   Add Apache Ignite Filesystem plugin to support accessing Apache IGFS.

    <developerConnection>scm:my-scm:https://domain.org/base/</developerConnection>
    <url>https://domain.org/base</url>
  </scm>
  <distributionManagement>
    <site>
      <url>scp://scp.domain.org/base/</url>
    </site>
  </distributionManagement>

    <url>https://domain.org/base/../child-artifact-id</url>
  </scm>
  <distributionManagement>
    <site>
      <url>scp://scp.domain.org/base/../child-artifact-id/</url>
    </site>
  </distributionManagement>

    <url>https://domain.org/base/child-artifact-id</url>
  </scm>
  <distributionManagement>
    <site>
      <url>scp://scp.domain.org/base/child-artifact-id/</url>
    </site>
  </distributionManagement>

---
name: TensorFlow Lite in Play Services issue
about: Use this template for issues with TensorFlow Lite in Google Play Services
labels: 'comp:lite-in-play-services'

---

**System information**
- Android Device information (use `adb shell getprop ro.build.fingerprint`
  if possible):
- TensorFlow Lite in Play Services SDK version (found in `build.gradle`):
- Google Play Services version