def test_log_model(self, mocker): mock_method = mocker.patch.object(ModelsClient, "log_model") client = ModelsClient() model = LinearNNModel() name = "simple-nn-model" client.log_model(name, model) mock_method.assert_called_once_with("simple-nn-model", model)
"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. """ from submarine import ModelsClient import numpy as np import torch from submarine import ModelsClient class LinearNNModel(torch.nn.Module): def __init__(self): super(LinearNNModel, self).__init__() self.linear = torch.nn.Linear(2, 1) # One in and one out def forward(self, x): y_pred = self.linear(x) return y_pred if __name__ == "__main__": client = ModelsClient() net = LinearNNModel() client.log_model("simple-nn-model", net)
def test_log_model(self): client = ModelsClient() model = LinearNNModel() name = "simple-nn-model" client.log_model(name, model)