}

// CHECK-LABEL: func @testEmptyResults
func.func @testEmptyResults(%arg0: tensor<0x2xf32>) -> tensor<0x2xf32> {
  %indices = "tf.Const"() {value = dense<> : tensor<0xi32>} : () -> tensor<0xi32>

  // CHECK: "tf.Const"() <{value = dense<> : tensor<0x2xf32>}> : () -> tensor<0x2xf32>
  %0 = "tf.DynamicStitch"(%indices, %arg0) : (tensor<0xi32>, tensor<0x2xf32>) -> tensor<0x2xf32>
  func.return %0 : tensor<0x2xf32>
}

labels.maintenance_title_configuration=Maintenance
labels.number_of_shards_for_doc=The number of shards
labels.auto_expand_replicas_for_doc=Auto expand replicas
labels.clear_crawler_index=Crawler Indices
labels.clear_crawler_index_button=Clear Crawler Indices
labels.diagnostic_logs=Diagnostic
labels.download_diagnostic_logs_button=Download Logs
labels.reload_doc_index=Reload Doc Index
labels.reload_doc_index_button=Reload

	var totalEntries uint32
	cuOffsets := make([]uint32, len(cuEntries))
	for i, entries := range cuEntries {
		// Note, cutab is a slice of uint32, so an offset to a cu's entry is just the
		// running total of all cu indices we've needed to store so far, not the
		// number of bytes we've stored so far.
		cuOffsets[i] = totalEntries
		totalEntries += uint32(entries)
	}

	// Write cutab.

  // the operand doesn't support per-channel quantization.
  llvm::DenseMap<int, int> coeff_op_quant_dim;

  // Indices of quantizable operands. Biases are not included in this field,
  // the indices of biases can be found in the `biases_params`.
  absl::flat_hash_set<int> quantizable_operands;
};

// A function signature for getting the particular OpQuantSpec for the provided

labels.maintenance_title_configuration=Maintenance
labels.number_of_shards_for_doc=The number of shards
labels.auto_expand_replicas_for_doc=Auto expand replicas
labels.clear_crawler_index=Crawler Indices
labels.clear_crawler_index_button=Clear Crawler Indices
labels.diagnostic_logs=Diagnostic
labels.download_diagnostic_logs_button=Download Logs
labels.reload_doc_index=Reload Doc Index
labels.reload_doc_index_button=Reload

labels.maintenance_title_configuration=Maintenance
labels.number_of_shards_for_doc=The number of shards
labels.auto_expand_replicas_for_doc=Auto expand replicas
labels.clear_crawler_index=Crawler Indices
labels.clear_crawler_index_button=Clear Crawler Indices
labels.diagnostic_logs=Diagnostic
labels.download_diagnostic_logs_button=Download Logs
labels.reload_doc_index=Reload Doc Index
labels.reload_doc_index_button=Reload

                        numberOfSuggestDocs += res.getNumberOfSuggestDocs();
                        numberOfInputDocs += res.getNumberOfInputDocs();
                        client.admin().indices().prepareRefresh(index).execute().actionGet(settings.getIndicesTimeout());
                        docs.clear();

                        waitController.run();
                    }
                }

		driverResources = active.resources
	}
	c.mutex.RUnlock()

	// Resources that are not yet stored in any slice need to be published.
	// Here we track the indices of any resources that are already stored.
	storedResourceIndices := sets.New[int]()

	// Slices that don't match any driver resource can either be updated (if there

labels.number_of_shards_for_doc	=	Le nombre de fragments
labels.auto_expand_replicas_for_doc	=	Extension automatique des répliques
labels.clear_crawler_index	=	Indices de chenilles
labels.clear_crawler_index_button	=	Effacer les indices de chenilles
labels.diagnostic_logs	=	Diagnostique
labels.download_diagnostic_logs_button	=	Télécharger les journaux
labels.reload_doc_index	=	Recharger l'index des documents

                                       const ArrayRef<int64_t> lhs_shape,
                                       const ArrayRef<int64_t> rhs_shape) {
  SmallVector<int64_t> output_shape;

  // Prepare necessary indices.
  absl::flat_hash_set<int64_t> lhs_remove_idx, rhs_remove_idx;
  for (auto v : ddn.lhs_batch_dimensions()) {
    lhs_remove_idx.insert(v);
  }
  for (auto v : ddn.lhs_contracting_dimensions()) {