<match value="0x0000000B" type="little32" offset="12"/>
      </match>
    </magic>
  </mime-type>
  <mime-type type="application/x-memgraph">
    <_comment>Apple Xcode Memgraph</_comment>
    <sub-class-of type="application/x-bplist"/>
    <glob pattern="*.memgraph"/>
  </mime-type>

  <mime-type type="application/x-mobipocket-ebook">
    <acronym>MOBI</acronym>
    <_comment>Mobipocket Ebook</_comment>

            return conflictResolver.resolveConflicts(getGraph(), ArtifactScopeEnum.compile);
        } else if (requestType.equals(MetadataResolutionRequestTypeEnum.classpathRuntime)) {
            return conflictResolver.resolveConflicts(getGraph(), ArtifactScopeEnum.runtime);
        } else if (requestType.equals(MetadataResolutionRequestTypeEnum.classpathTest)) {
            return conflictResolver.resolveConflicts(getGraph(), ArtifactScopeEnum.test);

  metagraph_def.ParseFromArray(metagraph->data, metagraph->length);
  TF_DeleteBuffer(metagraph);

  EXPECT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  CSession csession(session);

  // Retrieve the regression signature from meta graph def.
  const auto signature_def_map = metagraph_def.signature_def();
  const auto signature_def = signature_def_map.at("regress_x_to_y");

*   We released a new open-source version of TensorBoard.

*   [`SavedModel CLI`](https://www.tensorflow.org/versions/master/guide/saved_model_cli)
    tool available to inspect and execute MetaGraph in SavedModel

*   Android releases of TensorFlow are now pushed to jcenter for easier
    integration into apps. See