def LegalizeGather: Pat<
  (TF_GatherOp $params, $indices, $ignored_validate_indices),
  (TFL_GatherOp $params, $indices, ConstantAttr<I32Attr, "0">,
     ConstantAttr<I32Attr, "0">)>;

def LegalizeGatherNd : Pat<(TF_GatherNdOp $params, $indices, $bad_indices_policy),
                           (TFL_GatherNdOp $params, $indices)>;

def LegalizeGatherV2 : Pat<
  (TF_GatherV2Op $params, $indices, (Arith_ConstantOp ElementsAttr:$axis), $batch_dims),

  // CHECK-NOT: tf.HashTableV2
  // CHECK-NOT: tf.LookupTableSizeV2
  // CHECK-DAG: [[v0:%.*]] = "tf._TfrtGetResource"() <{container = [""], indices = [[[handle_id]]], shared_name = [{{.*}}]}> {device = "/job:localhost/replica:0/task:0/device:CPU:0"}
  // CHECK-DAG: [[v1:%.*]] = "tf._TfrtGetResource"() <{container = [""], indices = [[[size_id]]], shared_name = [{{.*}}]}> {device = "/job:localhost/replica:0/task:0/device:CPU:0"}

					continue
				}
			}
			indices = append(indices, i)
		}
		if len(indices) == 0 {
			t.Errorf("%s: no error expected: %q", gotPos, gotMsg)
			continue
		}
		// len(indices) > 0

		// If there are multiple matching errors, select the one with the closest column position.
		index := -1 // index of matching error
		var delta int
		for _, i := range indices {

    }
  }
  return resource_vec;
}

LogicalResult _TfrtGetResourceOp::verify() {
  _TfrtGetResourceOp get_resource_op = *this;
  // The sizes of indices, shared_name and container must be equal.
  int32_t indices_size =
      get_resource_op->getAttrOfType<mlir::ArrayAttr>("indices").size();
  int32_t shared_name_size =
      get_resource_op->getAttrOfType<mlir::ArrayAttr>("shared_name").size();
  int32_t container_size =

                      ConversionPatternRewriter& rewriter);

// If index_vector_dim == indices.rank() then insert the implicit extra
// dimension into indices to normalize everything to index_vector_dim ==
// indices.rank() - 1.
LogicalResult NormalizeIndexVector(Operation* parent_op, Value& indices,
                                   ShapedType& indices_type,
                                   int64_t index_vector_dim,

            try {
                empty = client.admin().indices().prepareGetMappings(actualIndex).execute().actionGet(settings.getIndicesTimeout())
                        .getMappings().isEmpty();
            } catch (final IndexNotFoundException e) {
                empty = true;
                final CreateIndexResponse response = client.admin().indices().prepareCreate(actualIndex)

#endif

typedef struct TF_VariableInputLockHolder TF_VariableInputLockHolder;

// Expose higher level Assignment operation for Pluggable vendors to implement
// in the plugin for Training. The API takes in the context with indices for
// the input and value tensors. It also accepts the copy callback provided by
// pluggable vendor to do the copying of the tensors. The caller takes ownership

					continue
				}
			}
			indices = append(indices, i)
		}
		if len(indices) == 0 {
			t.Errorf("%s: no error expected: %q", gotPos, gotMsg)
			continue
		}
		// len(indices) > 0

		// If there are multiple matching errors, select the one with the closest column position.
		index := -1 // index of matching error
		var delta uint
		for _, i := range indices {

            final String docIndex = fessConfig.getIndexDocumentUpdateIndex();
            searchEngineClient.admin().indices().prepareClose(docIndex).execute(ActionListener.wrap(res -> {
                logger.info("Close {}", docIndex);
                searchEngineClient.admin().indices().prepareOpen(docIndex).execute(

def DecomposeResourceScatterAdd : Pat<
  (TF_ResourceScatterAddOp:$src_op $resource, $indices, $updates),
  (TF_AssignVariableOp
    $resource,
    (TF_TensorScatterAddOp
      (CreateTFReadVariableOp $src_op, $updates, $resource),
      (TF_ExpandDimsOp $indices,
       (TF_ConstOp (GetScalarOfType<-1> $indices))),
      $updates
    ),
    (CreateConstBoolAttrFalse)
  )>;