## Install

See the [TensorFlow install guide](https://www.tensorflow.org/install) for the
[pip package](https://www.tensorflow.org/install/pip), to
[enable GPU support](https://www.tensorflow.org/install/gpu), use a
[Docker container](https://www.tensorflow.org/install/docker), and
[build from source](https://www.tensorflow.org/install/source).

To install the current release, which includes support for

              <!-- was only a workaround for Plexus Container, hopefully never used by anyone else -->
              <exclude>org.apache.maven.plugin.DefaultBuildPluginManager#setMojoExecutionListeners(java.util.List)</exclude>

        <jsp:param name="menuType" value="searchList"/>
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                            <la:message key="labels.search_list_configuration"/>

if ($(this._getContainerId()).length === 0) {\n      const container = $('<div />').attr('id', this._getContainerId().replace('#', ''))\n      if (this._config.position == POSITION_TOP_RIGHT) {\n        container.addClass(CLASS_NAME_TOP_RIGHT)\n      } else if (this._config.position == POSITION_TOP_LEFT) {\n        container.addClass(CLASS_NAME_TOP_LEFT)\n      } else if (this._config.position == POSITION_BOTTOM_RIGHT) {\n        container.addClass(CLASS_NAME_BOTTOM_RIGHT)\n      } else if (this._config.position...

        <jsp:param name="menuCategoryType" value="user"/>
        <jsp:param name="menuType" value="user"/>
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                            <la:message key="labels.user_title_details"/>
                        </h1>

static void TF_Reset_Helper(const TF_SessionOptions* opt,
                            const char** containers, int ncontainers,
                            TF_Status* status) {
  std::vector<string> container_names(ncontainers);
  for (int i = 0; i < ncontainers; ++i) {
    container_names[i] = containers[i];
  }

  status->status = Reset(opt->options, container_names);
}

extern "C" {

    development to avoid installing the packages directly on your system (in
    which case remember to change the directory from `/root` to `/tensorflow`
    once you get into the running container so `bazel` can find the `tensorflow`
    workspace).

    you can do this by using the following command. As an example-

    ```bash
    docker run -it --rm -v $PWD:/tmp -w /tmp tensorflow/build:2.15-python3.10

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                            <la:message key="labels.crawler_title_edit"/>
                        </h1>

When a plugin has a complete and valid configuration, the plugin would be looked up in the Plexus container and be ready to perform any operations requested of it.

h3. Execution of the plugin

 *
 * @author Kevin Bourrillion
 * @author Gregory Kick
 * @since 10.0
 */
@GwtCompatible
@SuppressWarnings("rawtypes") // https://github.com/google/guava/issues/989
@Immutable(containerOf = "C")
@ElementTypesAreNonnullByDefault
public final class Range<C extends Comparable> extends RangeGwtSerializationDependencies
    implements Predicate<C>, Serializable {
  @SuppressWarnings("unchecked")