// Match Add
    mlir::TFL::AddOp add_op =
        dyn_cast_or_null<TFL::AddOp>(strided_slice_op.getEnd().getDefiningOp());
    mlir::TFL::SubOp sub_op =
        dyn_cast_or_null<TFL::SubOp>(strided_slice_op.getEnd().getDefiningOp());
    if (!(add_op || sub_op)) {
      return failure();
    }

    // Check that add rhs is constant.
    DenseElementsAttr added_value;

    @Override
    public V getUnchecked(K key) {
      return autoDelegate.getUnchecked(key);
    }

    @Override
    public ImmutableMap<K, V> getAll(Iterable<? extends K> keys) throws ExecutionException {
      return autoDelegate.getAll(keys);
    }

    @Override
    public V apply(K key) {
      return autoDelegate.apply(key);
    }

    @Override

    @Override
    public V getUnchecked(K key) {
      return autoDelegate.getUnchecked(key);
    }

    @Override
    public ImmutableMap<K, V> getAll(Iterable<? extends K> keys) throws ExecutionException {
      return autoDelegate.getAll(keys);
    }

    @Override
    public V apply(K key) {
      return autoDelegate.apply(key);
    }

    @Override

    }
  }

  // Slice exactly the first shape dimension:
  //   begin = [0] end = [1], strides = [1]
  auto begin = get_const_int(slice_op.getBegin(), /*expected_rank=*/1);
  auto end = get_const_int(slice_op.getEnd(), /*expected_rank=*/1);
  auto strides = get_const_int(slice_op.getStrides(), /*expected_rank=*/1);
  if (!begin.has_value() || !end.has_value() || !strides.has_value() ||
      *begin != 0 || *end != 1 || *strides != 1)

					v = AppendValidation(v, fmt.Errorf("port names in servers must be unique: duplicate name %s", s.Port.Name))
				}
				portNames[s.Port.Name] = true
				if !protocol.Parse(s.Port.Protocol).IsHTTP() && s.GetTls().GetHttpsRedirect() {
					v = AppendValidation(v, WrapWarning(fmt.Errorf("tls.httpsRedirect should only be used with http servers")))
				}
			}
		}

		return v.Unwrap()
	})

    if (begin_type.getRank() != 1) return failure();
    if (begin_type.getDimSize(0) > num_input_dims) return failure();
  }

  if (auto end_type = op.getEnd().getType().dyn_cast<RankedTensorType>()) {
    if (end_type.getRank() != 1) return failure();
    if (end_type.getDimSize(0) > num_input_dims) return failure();
  }

  if (auto strides_type =

      device_mgr.get(), Env::Default(), /*config=*/nullptr,
      TF_GRAPH_DEF_VERSION, lib_def.get(), opts,
      /*default_thread_pool=*/nullptr, /*cluster_flr=*/nullptr);
  auto flr = pflr->GetFLR("/job:localhost/replica:0/task:0/cpu:0");

  std::unique_ptr<Graph> graph_out;
  s = EncapsulateSubgraphsInFunctions("_encapsulate", *graph,
                                      /*rewrite_subgraph_fn=*/{},

Method <org.gradle.kotlin.dsl.ClientModuleScope.getClientModule()> does not have raw return type assignable to org.gradle.api.provider.Provider in (DependencyHandlerExtensions.kt:0)
Method <org.gradle.kotlin.dsl.ConfigurationDeprecatedExtensionsKt.getAll(org.gradle.api.NamedDomainObjectProvider)> does not have raw return type assignable to org.gradle.api.provider.Provider in (ConfigurationDeprecatedExtensions.kt:0)