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)