*/

package com.google.common.graph;

import com.google.common.annotations.Beta;
import com.google.errorprone.annotations.DoNotMock;

/**
 * A functional interface for <a
 * href="https://en.wikipedia.org/wiki/Graph_(discrete_mathematics)">graph</a>-structured data.
 *
 * <p>This interface is meant to be used as the type of a parameter to graph algorithms (such as

  mutable tensorflow::mutex mu;
  tensorflow::Graph graph TF_GUARDED_BY(mu);

  // Runs shape inference.
  tensorflow::ShapeRefiner refiner TF_GUARDED_BY(mu);

  // Maps from name of an operation to the Node* in 'graph'.
  std::unordered_map<tensorflow::string, tensorflow::Node*> name_map
      TF_GUARDED_BY(mu);

  // The keys of this map are all the active sessions using this graph. Each

      <distribution>repo</distribution>
    </license>
  </licenses>

  <developers>
    <!-- Sonatype requires that we list someone here. Guava has many contributors: https://github.com/google/guava/graphs/contributors -->
    <developer>
      <id>cpovirk</id>
      <name>Chris Povirk</name>
      <email>******@****.***</email>
    </developer>
  </developers>

  <scm>

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.graph;

import static com.google.common.base.Preconditions.checkNotNull;
import static com.google.common.graph.GraphConstants.INNER_CAPACITY;
import static com.google.common.graph.GraphConstants.INNER_LOAD_FACTOR;

import com.google.common.collect.ImmutableMap;
import com.google.common.collect.Iterators;

![Grafana](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/node/grafana-node.png)

            PerformanceTest(
                model,
                stage,
                flameGraphGenerationBuildSpec,
                description =
                    "Flame graphs with $profiler for ${performanceScenario.scenario.scenario} | ${performanceScenario.testProject} " +
                        "on ${os.asName()} (bucket $bucketIndex)",
                performanceSubProject = "performance",

 */

package com.google.common.graph;

import com.google.common.annotations.Beta;
import com.google.errorprone.annotations.DoNotMock;

/**
 * A functional interface for <a
 * href="https://en.wikipedia.org/wiki/Graph_(discrete_mathematics)">graph</a>-structured data.
 *
 * <p>This interface is meant to be used as the type of a parameter to graph algorithms (such as

      <distribution>repo</distribution>
    </license>
  </licenses>

  <developers>
    <!-- Sonatype requires that we list someone here. Guava has many contributors: https://github.com/google/guava/graphs/contributors -->
    <developer>
      <id>cpovirk</id>
      <name>Chris Povirk</name>
      <email>******@****.***</email>
    </developer>
  </developers>

  <scm>

 * limitations under the License.
 */

package com.google.common.graph;

import static com.google.common.base.Preconditions.checkNotNull;
import static com.google.common.graph.GraphConstants.DEFAULT_NODE_COUNT;
import static com.google.common.graph.Graphs.checkNonNegative;

import java.util.Iterator;
import java.util.Map;
import java.util.Set;
import java.util.TreeMap;

abstract: TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing...