src/test/scripts/functions/paramserv/paramserv-sbp.dml

#-------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
#
#-------------------------------------------------------------

gradients = function(list[unknown] model,
                     list[unknown] hyperparams,
                     matrix[double] features,
                     matrix[double] labels)
          return (list[unknown] gradients) {
  gradients = model;
}

aggregation = function(list[unknown] model,
                       list[unknown] hyperparams,
                       list[unknown] gradients)
   return (list[unknown] modelResult) {
  modelResult = model;
}

model = list(matrix(0, 2, 3))
X = matrix(1, 2, 3)
Y = matrix(2, 2, 3)
X_val = matrix(3, 2, 3)
Y_val = matrix(4, 2, 3)
hps = list()

# Use paramserv function
supd = ".defaultNS::gradients";
sagg = ".defaultNS::aggregation";
model = paramserv(model=model, k=$workers, features=X, labels=Y, val_features=X_val, val_labels=Y_val,
  upd=supd, agg=sagg, mode="LOCAL", utype="SBP", freq="EPOCH", scheme=$scheme, epochs=1, hyperparams=hps, num_backup_workers=$backup_workers)

print(toString(model))